RELATIONSHIPS BETWEEN GENES/PROTEINS HOMOLOGUES

Size: px
Start display at page:

Download "RELATIONSHIPS BETWEEN GENES/PROTEINS HOMOLOGUES"

Transcription

1 Molecular Biology Definitions: RELATIONSHIPS BETWEEN GENES/PROTEINS HOMOLOGUES Heterologues: Genes or proteins that possess different sequences and activities. Homologues: Genes or proteins that share a threshold level of similarity as determined by alignment of matching bases or amino acids. Specifically, nucleotide sequences whose percent similarity is equal to or greater than 70% are termed homologous. In contrast, amino acid sequences whose percent similarity is equal to or greater than 25% are said to be homologous. Similarity is a quantitative term that defines the degree of sequence match between two compared sequences. For example, two aligned genes or segments of sequence that are homologous may have varying degrees of similarity based upon identical base matches in the alignment. In the first sequence alignment in the following figure, the sequences are obviously identical and therefore exhibit 39 matches out of 39 positions aligned, or 100% similarity. In the second alignment, the aligned sequences contain 28 matches out of 39 possible. The quantitative match or degree of similarity is then 28/39 or 72%. In both cases the sequences are homologous. A atgcctgaaggcctattgtttcccagtcgattggctgct of 39 matches atgcctgaaggcctattgtttcccagtcgattggctgcg... B atgcctgaaggcctattgtttcccagtcgattggctgct of 39 matches atgcctcggcttatattgtatcccagtccattggcagcg... Analogues: Genes or proteins that display the same activity but lack sufficient similarity to be homologs. (Less than 70% in the case of nucleotide sequences or less than 25% in the case of protein sequences.) Paralogs: Homologous genes or proteins produced by gene duplication are termed paralogous. Given that gene duplication occurs within the same organism/species, paralogues are sequences that share a high degree of similarity within a same species. These may have similar or different activities. Orthologs: After a speciation event, one homolog sorts with one species and the other copy with the other species. Subsequent divergence of the duplicated sequence is associated with one or the other species. Consequently, orthologues represent genes or proteins that share a high degree of similarity between different species.

2 Molecular Biology FINDING HOMOLOGS STARTING FROM A NUCLEOTIDE SEQUENCE 1. For this exercise you will be using the sequence represented by the mrna accession number NM_ Obtain the accession number, source organism and FASTA sequence. 2. From the nucleotide record click on the link "Run Blast" under the heading "analyze this sequence" on the right side of the page. This should bring you to the following page: Click here 3. Choose the options indicated above by the red boxes. Then click on algorithm parameters, at the bottom of the page, to obtain more options. 4. Change the following parameters: Set Max target sequences to 1000 and Expect threshold to 100. Click on Blast to start the search.

3 Molecular Biology Once you've obtained the Blast results, as shown below, click on "Taxonomy reports" to display the different organisms in which sequence similarities were found. 6. A new page will appear. Find the entry for Bos taurus (domestic cow). Notice the number of hits and click on it to list those records. 7. Obtain the first nucleotide record for hemoglobin, alpha 2 (HBA) mrna. Obtain the accession number, source organism and FASTA sequence. 8. Use the same approach to obtain the first nucleotide record of hemoglobin, alpha 1 mrna from Gallus gallus (chicken) 9. Use the approach we ve seen in the first bioinfo exercise to obtain the nucleotide record for human fetal hemoglobin (hemoglobin subunit gamma 1). Obtain the accession number, source organism and FASTA sequence.

4 Molecular Biology DETERMINING THE LEVEL OF SIMILARITY AT THE NUCLEOTIDE LEVEL 1. You should have saved four nucleotide sequences; two from humans, one from the domestic cow and one from the chicken. To determine the level of similarity at the nucleotide level we will use the program Clustal omega to perform a sequence alignment. Copy and paste each of the nucleotide sequences in FASTA format into the query box. Make sure to choose the option DNA 2. Click Submit to view the alignment. 3. On the menu at the top of the page, click on results summary and then on "percent identity matrix" to obtain the percentage of identity between the different sequences. See below. Percent Identity Matrix - created by Clustal2.1 1: gi : gi : gi These results are pairwise comparisons between the different sequences. Obtain from this file the percentage identity between each of the following pairs: human-alpha to human-gamma, humanalpha to cow-alpha, and human-alpha to chicken alpha.

5 Molecular Biology DETERMINING THE LEVEL OF SIMILARITY AT THE PROTEIN LEVEL 1. From each of the nucleotide records obtained above, obtain the corresponding protein records and their FASTA sequences. 2. Repeat the alignment in Clustal omega with the protein sequences. Make sure to choose the option protein this time. 3. You will notice that the display of the alignment is somewhat different this time. Interpreting the results displayed: "*" Means that the amino acids are identical. ":" Means that conserved substitutions are observed; a different amino acid which shares the same charge and shape. "." Means that semi-conserved substitutions are observed; a different amino acid which shares either the same charge or shape. 4. Obtain the percentage identity between each of the following protein pairs: human-alpha to human-gamma, human-alpha to cow-alpha, and human-alpha to chicken alpha.

6 Molecular Biology FINDING PROTEIN HOMOLOGS STARTING FROM A PROTEIN SEQUENCE 1. For this exercise you will be using the sequence represented by the protein accession number AAA Obtain the corresponding source organism and FASTA sequence. 2. From the protein record page, click on the link "Run Blast" under the heading "analyze this sequence" on the right side of the page. 3. Using the same parameters you used in the previous exercise, use Blastp to find and obtain the FASTA protein sequences for each of the following organisms: Bos taurus (Domestic cow) Mus musculus (Mouse) 4. Use the approach we have seen in the first bioinfo exercise to obtain the protein record for the alcohol dehydrogenase of Saccharomyces cerevisiae (yeast; hint it is classified as a fungi). 5. As you did previously, use Clustal omega to determine the percentage identity between the following pairs of proteins: Human to cow, human to mouse, and human to yeast. FINDING NUCLEOTIDE SEQUENCES WHICH CODE FOR PROTEINS WITH SIMILAR FUNCTIONS STARTING FROM A PROTEIN SEQUENCE 1. For this exercise you will be using the sequence represented by the protein accession number AAA Obtain the corresponding source organism and FASTA sequence. 2. From the protein record page, click on the link "Run Blast" under the heading "analyze this sequence" on the right side of the page. 3. This time, choose the option tblastn among the different Blast option. 4. As you have done previously, use the same algorithm parameters to find and obtain the FASTA nucleotide sequence for ADH 7 of Myotis ricketti (bats) as well as the FASTA protein sequence. 5. Obtain the FASTA nucleotide sequence and FASTA protein sequence from the record with the accession number U As you did previously, use Clustal omega to determine the percentage identity between the nucleotide sequences and the proteins sequences to answer the following questions: a. What type of homologues are the nucleotide sequences? b. What type of homologues are the protein sequences?

Hands-On Nine The PAX6 Gene and Protein

Hands-On Nine The PAX6 Gene and Protein Hands-On Nine The PAX6 Gene and Protein Main Purpose of Hands-On Activity: Using bioinformatics tools to examine the sequences, homology, and disease relevance of the Pax6: a master gene of eye formation.

More information

Phylogenetics - Orthology, phylogenetic experimental design and phylogeny reconstruction. Lesser Tenrec (Echinops telfairi)

Phylogenetics - Orthology, phylogenetic experimental design and phylogeny reconstruction. Lesser Tenrec (Echinops telfairi) Phylogenetics - Orthology, phylogenetic experimental design and phylogeny reconstruction Lesser Tenrec (Echinops telfairi) Goals: 1. Use phylogenetic experimental design theory to select optimal taxa to

More information

08/21/2017 BLAST. Multiple Sequence Alignments: Clustal Omega

08/21/2017 BLAST. Multiple Sequence Alignments: Clustal Omega BLAST Multiple Sequence Alignments: Clustal Omega What does basic BLAST do (e.g. what is input sequence and how does BLAST look for matches?) Susan Parrish McDaniel College Multiple Sequence Alignments

More information

Orthology Part I: concepts and implications Toni Gabaldón Centre for Genomic Regulation (CRG), Barcelona

Orthology Part I: concepts and implications Toni Gabaldón Centre for Genomic Regulation (CRG), Barcelona Orthology Part I: concepts and implications Toni Gabaldón Centre for Genomic Regulation (CRG), Barcelona (tgabaldon@crg.es) http://gabaldonlab.crg.es Homology the same organ in different animals under

More information

Bioinformatics Exercises

Bioinformatics Exercises Bioinformatics Exercises AP Biology Teachers Workshop Susan Cates, Ph.D. Evolution of Species Phylogenetic Trees show the relatedness of organisms Common Ancestor (Root of the tree) 1 Rooted vs. Unrooted

More information

Investigation 3: Comparing DNA Sequences to Understand Evolutionary Relationships with BLAST

Investigation 3: Comparing DNA Sequences to Understand Evolutionary Relationships with BLAST Investigation 3: Comparing DNA Sequences to Understand Evolutionary Relationships with BLAST Introduction Bioinformatics is a powerful tool which can be used to determine evolutionary relationships and

More information

Using Bioinformatics to Study Evolutionary Relationships Instructions

Using Bioinformatics to Study Evolutionary Relationships Instructions 3 Using Bioinformatics to Study Evolutionary Relationships Instructions Student Researcher Background: Making and Using Multiple Sequence Alignments One of the primary tasks of genetic researchers is comparing

More information

Introduction to protein alignments

Introduction to protein alignments Introduction to protein alignments Comparative Analysis of Proteins Experimental evidence from one or more proteins can be used to infer function of related protein(s). Gene A Gene X Protein A compare

More information

BLAST. Varieties of BLAST

BLAST. Varieties of BLAST BLAST Basic Local Alignment Search Tool (1990) Altschul, Gish, Miller, Myers, & Lipman Uses short-cuts or heuristics to improve search speed Like speed-reading, does not examine every nucleotide of database

More information

Orthology Part I concepts and implications Toni Gabaldón Centre for Genomic Regulation (CRG), Barcelona

Orthology Part I concepts and implications Toni Gabaldón Centre for Genomic Regulation (CRG), Barcelona Orthology Part I concepts and implications Toni Gabaldón Centre for Genomic Regulation (CRG), Barcelona Toni Gabaldón Contact: tgabaldon@crg.es Group website: http://gabaldonlab.crg.es Science blog: http://treevolution.blogspot.com

More information

Comparing Genomes! Homologies and Families! Sequence Alignments!

Comparing Genomes! Homologies and Families! Sequence Alignments! Comparing Genomes! Homologies and Families! Sequence Alignments! Allows us to achieve a greater understanding of vertebrate evolution! Tells us what is common and what is unique between different species

More information

Bioinformatics: Investigating Molecular/Biochemical Evidence for Evolution

Bioinformatics: Investigating Molecular/Biochemical Evidence for Evolution Bioinformatics: Investigating Molecular/Biochemical Evidence for Evolution Background How does an evolutionary biologist decide how closely related two different species are? The simplest way is to compare

More information

BLAST Database Searching. BME 110: CompBio Tools Todd Lowe April 8, 2010

BLAST Database Searching. BME 110: CompBio Tools Todd Lowe April 8, 2010 BLAST Database Searching BME 110: CompBio Tools Todd Lowe April 8, 2010 Admin Reading: Read chapter 7, and the NCBI Blast Guide and tutorial http://www.ncbi.nlm.nih.gov/blast/why.shtml Read Chapter 8 for

More information

Introduction to Bioinformatics

Introduction to Bioinformatics Introduction to Bioinformatics Lecture : p he biological problem p lobal alignment p Local alignment p Multiple alignment 6 Background: comparative genomics p Basic question in biology: what properties

More information

Ensembl focuses on metazoan (animal) genomes. The genomes currently available at the Ensembl site are:

Ensembl focuses on metazoan (animal) genomes. The genomes currently available at the Ensembl site are: Comparative genomics and proteomics Species available Ensembl focuses on metazoan (animal) genomes. The genomes currently available at the Ensembl site are: Vertebrates: human, chimpanzee, mouse, rat,

More information

Module: Sequence Alignment Theory and Applications Session: Introduction to Searching and Sequence Alignment

Module: Sequence Alignment Theory and Applications Session: Introduction to Searching and Sequence Alignment Module: Sequence Alignment Theory and Applications Session: Introduction to Searching and Sequence Alignment Introduction to Bioinformatics online course : IBT Jonathan Kayondo Learning Objectives Understand

More information

Basic Local Alignment Search Tool

Basic Local Alignment Search Tool Basic Local Alignment Search Tool Alignments used to uncover homologies between sequences combined with phylogenetic studies o can determine orthologous and paralogous relationships Local Alignment uses

More information

Elements of Bioinformatics 14F01 TP5 -Phylogenetic analysis

Elements of Bioinformatics 14F01 TP5 -Phylogenetic analysis Elements of Bioinformatics 14F01 TP5 -Phylogenetic analysis 10 December 2012 - Corrections - Exercise 1 Non-vertebrate chordates generally possess 2 homologs, vertebrates 3 or more gene copies; a Drosophila

More information

Master Biomedizin ) UCSC & UniProt 2) Homology 3) MSA 4) Phylogeny. Pablo Mier

Master Biomedizin ) UCSC & UniProt 2) Homology 3) MSA 4) Phylogeny. Pablo Mier Master Biomedizin 2018 1) UCSC & UniProt 2) Homology 3) MSA 4) 1 12 a. All of the sequences in file1.fasta (https://cbdm.uni-mainz.de/mb18/) are homologs. How many groups of orthologs would you say there

More information

Tree Building Activity

Tree Building Activity Tree Building Activity Introduction In this activity, you will construct phylogenetic trees using a phenotypic similarity (cartoon microbe pictures) and genotypic similarity (real microbe sequences). For

More information

Homology and Information Gathering and Domain Annotation for Proteins

Homology and Information Gathering and Domain Annotation for Proteins Homology and Information Gathering and Domain Annotation for Proteins Outline Homology Information Gathering for Proteins Domain Annotation for Proteins Examples and exercises The concept of homology The

More information

Homology Modeling (Comparative Structure Modeling) GBCB 5874: Problem Solving in GBCB

Homology Modeling (Comparative Structure Modeling) GBCB 5874: Problem Solving in GBCB Homology Modeling (Comparative Structure Modeling) Aims of Structural Genomics High-throughput 3D structure determination and analysis To determine or predict the 3D structures of all the proteins encoded

More information

BIOINFORMATICS LAB AP BIOLOGY

BIOINFORMATICS LAB AP BIOLOGY BIOINFORMATICS LAB AP BIOLOGY Bioinformatics is the science of collecting and analyzing complex biological data. Bioinformatics combines computer science, statistics and biology to allow scientists to

More information

Open a Word document to record answers to any italicized questions. You will the final document to me at

Open a Word document to record answers to any italicized questions. You will  the final document to me at Molecular Evidence for Evolution Open a Word document to record answers to any italicized questions. You will email the final document to me at tchnsci@yahoo.com Pre Lab Activity: Genes code for amino

More information

3. SEQUENCE ANALYSIS BIOINFORMATICS COURSE MTAT

3. SEQUENCE ANALYSIS BIOINFORMATICS COURSE MTAT 3. SEQUENCE ANALYSIS BIOINFORMATICS COURSE MTAT.03.239 25.09.2012 SEQUENCE ANALYSIS IS IMPORTANT FOR... Prediction of function Gene finding the process of identifying the regions of genomic DNA that encode

More information

Bioinformatics. Part 8. Sequence Analysis An introduction. Mahdi Vasighi

Bioinformatics. Part 8. Sequence Analysis An introduction. Mahdi Vasighi Bioinformatics Sequence Analysis An introduction Part 8 Mahdi Vasighi Sequence analysis Some of the earliest problems in genomics concerned how to measure similarity of DNA and protein sequences, either

More information

Example of Function Prediction

Example of Function Prediction Find similar genes Example of Function Prediction Suggesting functions of newly identified genes It was known that mutations of NF1 are associated with inherited disease neurofibromatosis 1; but little

More information

Pairwise & Multiple sequence alignments

Pairwise & Multiple sequence alignments Pairwise & Multiple sequence alignments Urmila Kulkarni-Kale Bioinformatics Centre 411 007 urmila@bioinfo.ernet.in Basis for Sequence comparison Theory of evolution: gene sequences have evolved/derived

More information

Emily Blanton Phylogeny Lab Report May 2009

Emily Blanton Phylogeny Lab Report May 2009 Introduction It is suggested through scientific research that all living organisms are connected- that we all share a common ancestor and that, through time, we have all evolved from the same starting

More information

Genome Annotation. Bioinformatics and Computational Biology. Genome sequencing Assembly. Gene prediction. Protein targeting.

Genome Annotation. Bioinformatics and Computational Biology. Genome sequencing Assembly. Gene prediction. Protein targeting. Genome Annotation Bioinformatics and Computational Biology Genome Annotation Frank Oliver Glöckner 1 Genome Analysis Roadmap Genome sequencing Assembly Gene prediction Protein targeting trna prediction

More information

MegAlign Pro Pairwise Alignment Tutorials

MegAlign Pro Pairwise Alignment Tutorials MegAlign Pro Pairwise Alignment Tutorials All demo data for the following tutorials can be found in the MegAlignProAlignments.zip archive here. Tutorial 1: Multiple versus pairwise alignments 1. Extract

More information

Journal of Proteomics & Bioinformatics - Open Access

Journal of Proteomics & Bioinformatics - Open Access Abstract Methodology for Phylogenetic Tree Construction Kudipudi Srinivas 2, Allam Appa Rao 1, GR Sridhar 3, Srinubabu Gedela 1* 1 International Center for Bioinformatics & Center for Biotechnology, Andhra

More information

Tools and Algorithms in Bioinformatics

Tools and Algorithms in Bioinformatics Tools and Algorithms in Bioinformatics GCBA815, Fall 2015 Week-4 BLAST Algorithm Continued Multiple Sequence Alignment Babu Guda, Ph.D. Department of Genetics, Cell Biology & Anatomy Bioinformatics and

More information

Investigating Evolutionary Questions Using Online Molecular Databases *

Investigating Evolutionary Questions Using Online Molecular Databases * Investigating Evolutionary Questions Using Online Molecular Databases * Adapted from Puterbaugh and Burleigh, and The American Biology Teacher Lesson Background and Overview [Student Information Handout]

More information

Homology. and. Information Gathering and Domain Annotation for Proteins

Homology. and. Information Gathering and Domain Annotation for Proteins Homology and Information Gathering and Domain Annotation for Proteins Outline WHAT IS HOMOLOGY? HOW TO GATHER KNOWN PROTEIN INFORMATION? HOW TO ANNOTATE PROTEIN DOMAINS? EXAMPLES AND EXERCISES Homology

More information

Sara C. Madeira. Universidade da Beira Interior. (Thanks to Ana Teresa Freitas, IST for useful resources on this subject)

Sara C. Madeira. Universidade da Beira Interior. (Thanks to Ana Teresa Freitas, IST for useful resources on this subject) Bioinformática Sequence Alignment Pairwise Sequence Alignment Universidade da Beira Interior (Thanks to Ana Teresa Freitas, IST for useful resources on this subject) 1 16/3/29 & 23/3/29 27/4/29 Outline

More information

Introduction to Bioinformatics Online Course: IBT

Introduction to Bioinformatics Online Course: IBT Introduction to Bioinformatics Online Course: IBT Multiple Sequence Alignment Building Multiple Sequence Alignment Lec1 Building a Multiple Sequence Alignment Learning Outcomes 1- Understanding Why multiple

More information

COMPARING DNA SEQUENCES TO UNDERSTAND EVOLUTIONARY RELATIONSHIPS WITH BLAST

COMPARING DNA SEQUENCES TO UNDERSTAND EVOLUTIONARY RELATIONSHIPS WITH BLAST Big Idea 1 Evolution INVESTIGATION 3 COMPARING DNA SEQUENCES TO UNDERSTAND EVOLUTIONARY RELATIONSHIPS WITH BLAST How can bioinformatics be used as a tool to determine evolutionary relationships and to

More information

Bioinformatics Chapter 1. Introduction

Bioinformatics Chapter 1. Introduction Bioinformatics Chapter 1. Introduction Outline! Biological Data in Digital Symbol Sequences! Genomes Diversity, Size, and Structure! Proteins and Proteomes! On the Information Content of Biological Sequences!

More information

Bioinformatics tools for phylogeny and visualization. Yanbin Yin

Bioinformatics tools for phylogeny and visualization. Yanbin Yin Bioinformatics tools for phylogeny and visualization Yanbin Yin 1 Homework assignment 5 1. Take the MAFFT alignment http://cys.bios.niu.edu/yyin/teach/pbb/purdue.cellwall.list.lignin.f a.aln as input and

More information

Bio 1B Lecture Outline (please print and bring along) Fall, 2007

Bio 1B Lecture Outline (please print and bring along) Fall, 2007 Bio 1B Lecture Outline (please print and bring along) Fall, 2007 B.D. Mishler, Dept. of Integrative Biology 2-6810, bmishler@berkeley.edu Evolution lecture #5 -- Molecular genetics and molecular evolution

More information

THEORY. Based on sequence Length According to the length of sequence being compared it is of following two types

THEORY. Based on sequence Length According to the length of sequence being compared it is of following two types Exp 11- THEORY Sequence Alignment is a process of aligning two sequences to achieve maximum levels of identity between them. This help to derive functional, structural and evolutionary relationships between

More information

Tiffany Samaroo MB&B 452a December 8, Take Home Final. Topic 1

Tiffany Samaroo MB&B 452a December 8, Take Home Final. Topic 1 Tiffany Samaroo MB&B 452a December 8, 2003 Take Home Final Topic 1 Prior to 1970, protein and DNA sequence alignment was limited to visual comparison. This was a very tedious process; even proteins with

More information

Multiple Sequence Alignments

Multiple Sequence Alignments Multiple Sequence Alignments...... Elements of Bioinformatics Spring, 2003 Tom Carter http://astarte.csustan.edu/ tom/ March, 2003 1 Sequence Alignments Often, we would like to make direct comparisons

More information

Sequence alignment methods. Pairwise alignment. The universe of biological sequence analysis

Sequence alignment methods. Pairwise alignment. The universe of biological sequence analysis he universe of biological sequence analysis Word/pattern recognition- Identification of restriction enzyme cleavage sites Sequence alignment methods PstI he universe of biological sequence analysis - prediction

More information

Grundlagen der Bioinformatik, SS 08, D. Huson, May 2,

Grundlagen der Bioinformatik, SS 08, D. Huson, May 2, Grundlagen der Bioinformatik, SS 08, D. Huson, May 2, 2008 39 5 Blast This lecture is based on the following, which are all recommended reading: R. Merkl, S. Waack: Bioinformatik Interaktiv. Chapter 11.4-11.7

More information

Bioinformatics and BLAST

Bioinformatics and BLAST Bioinformatics and BLAST Overview Recap of last time Similarity discussion Algorithms: Needleman-Wunsch Smith-Waterman BLAST Implementation issues and current research Recap from Last Time Genome consists

More information

Algorithms in Bioinformatics FOUR Pairwise Sequence Alignment. Pairwise Sequence Alignment. Convention: DNA Sequences 5. Sequence Alignment

Algorithms in Bioinformatics FOUR Pairwise Sequence Alignment. Pairwise Sequence Alignment. Convention: DNA Sequences 5. Sequence Alignment Algorithms in Bioinformatics FOUR Sami Khuri Department of Computer Science San José State University Pairwise Sequence Alignment Homology Similarity Global string alignment Local string alignment Dot

More information

Homology Modeling. Roberto Lins EPFL - summer semester 2005

Homology Modeling. Roberto Lins EPFL - summer semester 2005 Homology Modeling Roberto Lins EPFL - summer semester 2005 Disclaimer: course material is mainly taken from: P.E. Bourne & H Weissig, Structural Bioinformatics; C.A. Orengo, D.T. Jones & J.M. Thornton,

More information

CONCEPT OF SEQUENCE COMPARISON. Natapol Pornputtapong 18 January 2018

CONCEPT OF SEQUENCE COMPARISON. Natapol Pornputtapong 18 January 2018 CONCEPT OF SEQUENCE COMPARISON Natapol Pornputtapong 18 January 2018 SEQUENCE ANALYSIS - A ROSETTA STONE OF LIFE Sequence analysis is the process of subjecting a DNA, RNA or peptide sequence to any of

More information

Ch. 9 Multiple Sequence Alignment (MSA)

Ch. 9 Multiple Sequence Alignment (MSA) Ch. 9 Multiple Sequence Alignment (MSA) - gather seqs. to make MSA - doing MSA with ClustalW - doing MSA with Tcoffee - comparing seqs. that cannot align Introduction - from pairwise alignment to MSA -

More information

Protein function prediction based on sequence analysis

Protein function prediction based on sequence analysis Performing sequence searches Post-Blast analysis, Using profiles and pattern-matching Protein function prediction based on sequence analysis Slides from a lecture on MOL204 - Applied Bioinformatics 18-Oct-2005

More information

Session 5: Phylogenomics

Session 5: Phylogenomics Session 5: Phylogenomics B.- Phylogeny based orthology assignment REMINDER: Gene tree reconstruction is divided in three steps: homology search, multiple sequence alignment and model selection plus tree

More information

B I O I N F O R M A T I C S

B I O I N F O R M A T I C S B I O I N F O R M A T I C S Kristel Van Steen, PhD 2 Montefiore Institute - Systems and Modeling GIGA - Bioinformatics ULg kristel.vansteen@ulg.ac.be K Van Steen CH4 : 1 CHAPTER 4: SEQUENCE COMPARISON

More information

EECS730: Introduction to Bioinformatics

EECS730: Introduction to Bioinformatics EECS730: Introduction to Bioinformatics Lecture 05: Index-based alignment algorithms Slides adapted from Dr. Shaojie Zhang (University of Central Florida) Real applications of alignment Database search

More information

EECS730: Introduction to Bioinformatics

EECS730: Introduction to Bioinformatics EECS730: Introduction to Bioinformatics Lecture 07: profile Hidden Markov Model http://bibiserv.techfak.uni-bielefeld.de/sadr2/databasesearch/hmmer/profilehmm.gif Slides adapted from Dr. Shaojie Zhang

More information

GENERAL BIOLOGY LABORATORY EXERCISE Amino Acid Sequence Analysis of Cytochrome C in Bacteria and Eukarya Using Bioinformatics

GENERAL BIOLOGY LABORATORY EXERCISE Amino Acid Sequence Analysis of Cytochrome C in Bacteria and Eukarya Using Bioinformatics GENERAL BIOLOGY LABORATORY EXERCISE Amino Acid Sequence Analysis of Cytochrome C in Bacteria and Eukarya Using Bioinformatics INTRODUCTION: All life forms undergo metabolic processes to obtain energy.

More information

Figure S1: Mitochondrial gene map for Pythium ultimum BR144. Arrows indicate transcriptional orientation, clockwise for the outer row and

Figure S1: Mitochondrial gene map for Pythium ultimum BR144. Arrows indicate transcriptional orientation, clockwise for the outer row and Figure S1: Mitochondrial gene map for Pythium ultimum BR144. Arrows indicate transcriptional orientation, clockwise for the outer row and counterclockwise for the inner row, with green representing coding

More information

Alignment principles and homology searching using (PSI-)BLAST. Jaap Heringa Centre for Integrative Bioinformatics VU (IBIVU)

Alignment principles and homology searching using (PSI-)BLAST. Jaap Heringa Centre for Integrative Bioinformatics VU (IBIVU) Alignment principles and homology searching using (PSI-)BLAST Jaap Heringa Centre for Integrative Bioinformatics VU (IBIVU) http://ibivu.cs.vu.nl Bioinformatics Nothing in Biology makes sense except in

More information

Heuristic Alignment and Searching

Heuristic Alignment and Searching 3/28/2012 Types of alignments Global Alignment Each letter of each sequence is aligned to a letter or a gap (e.g., Needleman-Wunsch). Local Alignment An optimal pair of subsequences is taken from the two

More information

Tools and Algorithms in Bioinformatics

Tools and Algorithms in Bioinformatics Tools and Algorithms in Bioinformatics GCBA815, Fall 2013 Week3: Blast Algorithm, theory and practice Babu Guda, Ph.D. Department of Genetics, Cell Biology & Anatomy Bioinformatics and Systems Biology

More information

Introduction to Bioinformatics Introduction to Bioinformatics

Introduction to Bioinformatics Introduction to Bioinformatics Dr. rer. nat. Gong Jing Cancer Research Center Medicine School of Shandong University 2012.11.09 1 Chapter 4 Phylogenetic Tree 2 Phylogeny Evidence from morphological ( 形态学的 ), biochemical, and gene sequence

More information

8/23/2014. Phylogeny and the Tree of Life

8/23/2014. Phylogeny and the Tree of Life Phylogeny and the Tree of Life Chapter 26 Objectives Explain the following characteristics of the Linnaean system of classification: a. binomial nomenclature b. hierarchical classification List the major

More information

Gene Families part 2. Review: Gene Families /727 Lecture 8. Protein family. (Multi)gene family

Gene Families part 2. Review: Gene Families /727 Lecture 8. Protein family. (Multi)gene family Review: Gene Families Gene Families part 2 03 327/727 Lecture 8 What is a Case study: ian globin genes Gene trees and how they differ from species trees Homology, orthology, and paralogy Last tuesday 1

More information

Supplemental Figure 1.

Supplemental Figure 1. Supplemental Material: Annu. Rev. Genet. 2015. 49:213 42 doi: 10.1146/annurev-genet-120213-092023 A Uniform System for the Annotation of Vertebrate microrna Genes and the Evolution of the Human micrornaome

More information

Chapter 5. Proteomics and the analysis of protein sequence Ⅱ

Chapter 5. Proteomics and the analysis of protein sequence Ⅱ Proteomics Chapter 5. Proteomics and the analysis of protein sequence Ⅱ 1 Pairwise similarity searching (1) Figure 5.5: manual alignment One of the amino acids in the top sequence has no equivalent and

More information

Algorithms in Bioinformatics

Algorithms in Bioinformatics Algorithms in Bioinformatics Sami Khuri Department of omputer Science San José State University San José, alifornia, USA khuri@cs.sjsu.edu www.cs.sjsu.edu/faculty/khuri Pairwise Sequence Alignment Homology

More information

Sequence Alignment Techniques and Their Uses

Sequence Alignment Techniques and Their Uses Sequence Alignment Techniques and Their Uses Sarah Fiorentino Since rapid sequencing technology and whole genomes sequencing, the amount of sequence information has grown exponentially. With all of this

More information

Supplementary text for the section Interactions conserved across species: can one select the conserved interactions?

Supplementary text for the section Interactions conserved across species: can one select the conserved interactions? 1 Supporting Information: What Evidence is There for the Homology of Protein-Protein Interactions? Anna C. F. Lewis, Nick S. Jones, Mason A. Porter, Charlotte M. Deane Supplementary text for the section

More information

Background. Bioinformatics Exercises for the Study of Evolution with Heme Proteins as a Model System

Background. Bioinformatics Exercises for the Study of Evolution with Heme Proteins as a Model System AP Biology Academy www.bioc.rice.edu/~olson/courses.html Bioinformatics Exercises for the Study of Evolution with Heme Proteins as a Model System Evolution of O2 transport and storage by hemoglobins: From

More information

Synteny Portal Documentation

Synteny Portal Documentation Synteny Portal Documentation Synteny Portal is a web application portal for visualizing, browsing, searching and building synteny blocks. Synteny Portal provides four main web applications: SynCircos,

More information

Collected Works of Charles Dickens

Collected Works of Charles Dickens Collected Works of Charles Dickens A Random Dickens Quote If there were no bad people, there would be no good lawyers. Original Sentence It was a dark and stormy night; the night was dark except at sunny

More information

Tree of Life iological Sequence nalysis Chapter http://tolweb.org/tree/ Phylogenetic Prediction ll organisms on Earth have a common ancestor. ll species are related. The relationship is called a phylogeny

More information

Annotation of Drosophila grimashawi Contig12

Annotation of Drosophila grimashawi Contig12 Annotation of Drosophila grimashawi Contig12 Marshall Strother April 27, 2009 Contents 1 Overview 3 2 Genes 3 2.1 Genscan Feature 12.4............................................. 3 2.1.1 Genome Browser:

More information

Bioinformatics (GLOBEX, Summer 2015) Pairwise sequence alignment

Bioinformatics (GLOBEX, Summer 2015) Pairwise sequence alignment Bioinformatics (GLOBEX, Summer 2015) Pairwise sequence alignment Substitution score matrices, PAM, BLOSUM Needleman-Wunsch algorithm (Global) Smith-Waterman algorithm (Local) BLAST (local, heuristic) E-value

More information

Small RNA in rice genome

Small RNA in rice genome Vol. 45 No. 5 SCIENCE IN CHINA (Series C) October 2002 Small RNA in rice genome WANG Kai ( 1, ZHU Xiaopeng ( 2, ZHONG Lan ( 1,3 & CHEN Runsheng ( 1,2 1. Beijing Genomics Institute/Center of Genomics and

More information

CISC 889 Bioinformatics (Spring 2004) Sequence pairwise alignment (I)

CISC 889 Bioinformatics (Spring 2004) Sequence pairwise alignment (I) CISC 889 Bioinformatics (Spring 2004) Sequence pairwise alignment (I) Contents Alignment algorithms Needleman-Wunsch (global alignment) Smith-Waterman (local alignment) Heuristic algorithms FASTA BLAST

More information

Inferring phylogeny. Constructing phylogenetic trees. Tõnu Margus. Bioinformatics MTAT

Inferring phylogeny. Constructing phylogenetic trees. Tõnu Margus. Bioinformatics MTAT Inferring phylogeny Constructing phylogenetic trees Tõnu Margus Contents What is phylogeny? How/why it is possible to infer it? Representing evolutionary relationships on trees What type questions questions

More information

Supplemental Materials

Supplemental Materials JOURNAL OF MICROBIOLOGY & BIOLOGY EDUCATION, May 2013, p. 107-109 DOI: http://dx.doi.org/10.1128/jmbe.v14i1.496 Supplemental Materials for Engaging Students in a Bioinformatics Activity to Introduce Gene

More information

Comparative genomics: Overview & Tools + MUMmer algorithm

Comparative genomics: Overview & Tools + MUMmer algorithm Comparative genomics: Overview & Tools + MUMmer algorithm Urmila Kulkarni-Kale Bioinformatics Centre University of Pune, Pune 411 007. urmila@bioinfo.ernet.in Genome sequence: Fact file 1995: The first

More information

Phylogeny and systematics. Why are these disciplines important in evolutionary biology and how are they related to each other?

Phylogeny and systematics. Why are these disciplines important in evolutionary biology and how are they related to each other? Phylogeny and systematics Why are these disciplines important in evolutionary biology and how are they related to each other? Phylogeny and systematics Phylogeny: the evolutionary history of a species

More information

Tutorial 12 Excess Pore Pressure (B-bar method) Undrained loading (B-bar method) Initial pore pressure Excess pore pressure

Tutorial 12 Excess Pore Pressure (B-bar method) Undrained loading (B-bar method) Initial pore pressure Excess pore pressure Tutorial 12 Excess Pore Pressure (B-bar method) Undrained loading (B-bar method) Initial pore pressure Excess pore pressure Introduction This tutorial will demonstrate the Excess Pore Pressure (Undrained

More information

Biol478/ August

Biol478/ August Biol478/595 29 August # Day Inst. Topic Hwk Reading August 1 M 25 MG Introduction 2 W 27 MG Sequences and Evolution Handouts 3 F 29 MG Sequences and Evolution September M 1 Labor Day 4 W 3 MG Database

More information

Cladistics and Bioinformatics Questions 2013

Cladistics and Bioinformatics Questions 2013 AP Biology Name Cladistics and Bioinformatics Questions 2013 1. The following table shows the percentage similarity in sequences of nucleotides from a homologous gene derived from five different species

More information

Introduction to Bioinformatics

Introduction to Bioinformatics Introduction to Bioinformatics Jianlin Cheng, PhD Department of Computer Science Informatics Institute 2011 Topics Introduction Biological Sequence Alignment and Database Search Analysis of gene expression

More information

Ontology Alignment in the Presence of a Domain Ontology

Ontology Alignment in the Presence of a Domain Ontology Ontology Alignment in the Presence of a Domain Ontology Finding Protein Homology by Andrew August Carbonetto B.Sc., McGill University, 2005 A THESIS SUBMITTED IN PARTIAL FULFILMENT OF THE REQUIREMENTS

More information

Draft document version 0.6; ClustalX version 2.1(PC), (Mac); NJplot version 2.3; 3/26/2012

Draft document version 0.6; ClustalX version 2.1(PC), (Mac); NJplot version 2.3; 3/26/2012 Comparing DNA Sequences to Determine Evolutionary Relationships of Molluscs This activity serves as a supplement to the online activity Biodiversity and Evolutionary Trees: An Activity on Biological Classification

More information

Computational Biology: Basics & Interesting Problems

Computational Biology: Basics & Interesting Problems Computational Biology: Basics & Interesting Problems Summary Sources of information Biological concepts: structure & terminology Sequencing Gene finding Protein structure prediction Sources of information

More information

Phylogenetic analysis. Characters

Phylogenetic analysis. Characters Typical steps: Phylogenetic analysis Selection of taxa. Selection of characters. Construction of data matrix: character coding. Estimating the best-fitting tree (model) from the data matrix: phylogenetic

More information

Comparative Bioinformatics Midterm II Fall 2004

Comparative Bioinformatics Midterm II Fall 2004 Comparative Bioinformatics Midterm II Fall 2004 Objective Answer, part I: For each of the following, select the single best answer or completion of the phrase. (3 points each) 1. Deinococcus radiodurans

More information

10-810: Advanced Algorithms and Models for Computational Biology. microrna and Whole Genome Comparison

10-810: Advanced Algorithms and Models for Computational Biology. microrna and Whole Genome Comparison 10-810: Advanced Algorithms and Models for Computational Biology microrna and Whole Genome Comparison Central Dogma: 90s Transcription factors DNA transcription mrna translation Proteins Central Dogma:

More information

CHAPTERS 24-25: Evidence for Evolution and Phylogeny

CHAPTERS 24-25: Evidence for Evolution and Phylogeny CHAPTERS 24-25: Evidence for Evolution and Phylogeny 1. For each of the following, indicate how it is used as evidence of evolution by natural selection or shown as an evolutionary trend: a. Paleontology

More information

OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy

OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy Emms and Kelly Genome Biology (2015) 16:157 DOI 10.1186/s13059-015-0721-2 SOFTWARE OrthoFinder: solving fundamental biases in whole genome comparisons dramatically improves orthogroup inference accuracy

More information

Sequence Alignment: A General Overview. COMP Fall 2010 Luay Nakhleh, Rice University

Sequence Alignment: A General Overview. COMP Fall 2010 Luay Nakhleh, Rice University Sequence Alignment: A General Overview COMP 571 - Fall 2010 Luay Nakhleh, Rice University Life through Evolution All living organisms are related to each other through evolution This means: any pair of

More information

Biochemistry 324 Bioinformatics. Pairwise sequence alignment

Biochemistry 324 Bioinformatics. Pairwise sequence alignment Biochemistry 324 Bioinformatics Pairwise sequence alignment How do we compare genes/proteins? When we have sequenced a genome, we try and identify the function of unknown genes by finding a similar gene

More information

Computational Biology

Computational Biology Computational Biology Lecture 6 31 October 2004 1 Overview Scoring matrices (Thanks to Shannon McWeeney) BLAST algorithm Start sequence alignment 2 1 What is a homologous sequence? A homologous sequence,

More information

Network Alignment 858L

Network Alignment 858L Network Alignment 858L Terms & Questions A homologous h Interolog = B h Species 1 Species 2 Are there conserved pathways? What is the minimum set of pathways required for life? Can we compare networks

More information

Homolog. Orthologue. Comparative Genomics. Paralog. What is Comparative Genomics. What is Comparative Genomics

Homolog. Orthologue. Comparative Genomics. Paralog. What is Comparative Genomics. What is Comparative Genomics Orthologue Orthologs are genes in different species that evolved from a common ancestral gene by speciation. Normally, orthologs retain the same function in the course of evolution. Identification of orthologs

More information

Massachusetts Institute of Technology Computational Evolutionary Biology, Fall, 2005 Notes for November 7: Molecular evolution

Massachusetts Institute of Technology Computational Evolutionary Biology, Fall, 2005 Notes for November 7: Molecular evolution Massachusetts Institute of Technology 6.877 Computational Evolutionary Biology, Fall, 2005 Notes for November 7: Molecular evolution 1. Rates of amino acid replacement The initial motivation for the neutral

More information

GenomeBlast: a Web Tool for Small Genome Comparison

GenomeBlast: a Web Tool for Small Genome Comparison GenomeBlast: a Web Tool for Small Genome Comparison Guoqing Lu 1*, Liying Jiang 2, Resa M. Kotalik 3, Thaine W. Rowley 3, Luwen Zhang 4, Xianfeng Chen 6, Etsuko N. Moriyama 4,5* 1 Department of Biology,

More information