'Homologous proteins' presentation slideshows

Lecture 8

Lecture 8. Chapter 6 Multiple Sequence Alignment Methods. The major goal of computational sequence analysis is to predict the structure and function of genes and proteins from their sequence. Biological Motivation. Compare a new sequence with the sequences in a

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Multiple Sequence Alignment (MSA); short version BIOL 7711 Computational Bioscience

Consortium for Comparative Genomics. University of Colorado School of Medicine. Multiple Sequence Alignment (MSA); short version BIOL 7711 Computational Bioscience. Sequence Alignment Profiles Mouse TCR V a. Why a Hidden Markov Model?.

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Protein Secondary Structures

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Tracing Phylogeny

Tracing Phylogeny. Phylogeny. Phylon = tribe, geny = genesis or origin The evolutionary history of a species or a group of related species. Phylogeny. Found in fossils and the fossil record. Fossils. Any preserved remnant or impression of a past organism. Types of Fossils.

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Multiple Sequence Alignments and Sequence Profiles

Multiple Sequence Alignments and Sequence Profiles. Multiple sequence alignment. Generalize our pairwise alignment of sequences to include more than two homologous proteins. Looking at more than two sequences gives us much more information Which amino acids are required? correlated?

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Gene Finding

Gene Finding. Charles Yan. Gene Finding. Genomes of many organisms have been sequenced. We need to translate the raw sequences into knowledge. Where are the genes? How the genes are regulated?. Genome. Human Genome Project (HGP).

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GenBank Huge amounts of data, easily accessible

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Evolution NOtes

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Mapping the 14-3-3-binding 2R-ohnologue protein families of the human kinome

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Sequence comparisons

Sequence comparisons. April 9, 2002 Review homework Learning objectives-Review amino acids. Understand difference between identity, similarity and homology. Understand difference between global alignment and local alignment. Workshop-Perform sliding window to compare two sequences

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CISC 467/667 Intro to Bioinformatics (Fall 2005) Protein Structure Prediction

CISC 467/667 Intro to Bioinformatics (Fall 2005) Protein Structure Prediction. 3-Dimensional Structure. Foundation

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CISC 467/667 Intro to Bioinformatics (Spring 2007) Protein Structure Prediction

CISC 467/667 Intro to Bioinformatics (Spring 2007) Protein Structure Prediction. 3-Dimensional Structure. Foundation

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Evolution

Evolution. Brianna Manuel, Emma Page Stacia Paglieri and Georgia Pullis. Charles Darwin. Charles Darwin discovered the beginning of evolution. In his theory, he had an idea that animals could change through time.

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Bioinformatics 01 Part 3: Pairwise Alignments and Database Searches

Bioinformatics 01 Part 3: Pairwise Alignments and Database Searches. Similarity and homology Gap penalties and scoring matrices in pairwise alignments Alignment algorithms Database searching: BLAST and FASTA. Similarity and Homology.

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Protein Evolution

Protein Evolution. Introducing the use of Biology Workbench as a Bioinformatics Tool. What is Bioinformatics?. The application of computer technology to the management of biological information

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Computational Approaches(1/7)

Computational Approaches(1/7). Computational methods can be divided into four categories: prediction methods based on (i) The overall protein amino acid composition (ii) Known targeting sequences (iii) Sequence homology and/or motifs

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