'Protein sequence analysis' presentation slideshows

CSE182-L7

CSE182-L7. Protein Sequence Analysis using HMMs, Gene Finding. Domain analysis via profiles. Given a database of profiles of known domains/families, we can query our sequence against each of them, and choose the high scoring ones to functionally characterize our sequences.

1.12k views • 97 slides

Recent Advances in Protein Sequence Analysis

Recent Advances in Protein Sequence Analysis. Nick V. Grishin. Howard Hughes Medical Institute, Department of Biochemistry, University of Texas Southwestern Medical Center at Dallas. Assembling a toolbox for analysis of protein molecules. History tour. How did it all start?.

942 views • 78 slides

Marie-Claude.Blatter@isb-sib.ch Swiss-Prot group, Geneva SIB Swiss Institute of Bioinformatics

The UniProt knowledgebase www.uniprot.org a hub of integrated protein data http://education.expasy.org/cours/Turin/. Marie-Claude.Blatter@isb-sib.ch Swiss-Prot group, Geneva SIB Swiss Institute of Bioinformatics. Protein sequences.

875 views • 75 slides

CSE182-L10

CSE182-L10. Gene Finding. HMM. T[j,k ]. Q is a set of states T is a matrix of transition probabilities T[j,k ]: probability of moving from state j to state k ? is a set of symbols e j (S ) is the probability of emitting S while in state j. Automaton M=(Q,T, ?,?,e )

760 views • 75 slides

CSE182-L4: Scoring matrices, Dictionary Matching

672 views • 60 slides

CSE182-L4: Scoring matrices, Dictionary Matching

611 views • 60 slides

CSE182-L6

CSE182-L6. Dicitionary matching Pattern matching. Today, we might look at R. Expr. In Assignment 1, you were asked to look for all mouse sequences. One way is to make a perl regular expression out all possibilities MATCH [Mm]us OR [Mm]ouse but DO NOT match [Ll][Ii][Kk][Ee]

633 views • 52 slides

CSE182-L7

587 views • 45 slides

Chapter 24 Evolutionary Genetics

Chapter 24 Evolutionary Genetics. Chapter Outline. Genetic Variation in Natural Populations Molecular and Evolution Speciation. Genetic Variation in Natural Populations. --Variation in alleles of genes --There are three primary sources of genetic variation

637 views • 33 slides

680 views • 33 slides

7. Bioinformatics

7. Bioinformatics. Why carry out sequence analysis? Pairwise alignment dotplot Multiple sequence alignment consensus sequence profile Similarity secondary structure prediction Applications. PC session Protein sequence analysis Biocomputing. Primary etc structure X-ray crystallography

422 views • 30 slides

Lecture 08

Lecture 08. PROTEIN SEQUENCE ANALYSIS. PROTEIN DATABASES. PROTEIN SEQUENCE. PROPERTIES. TOOLS. MOTIF/DOMAIN. FOLDINDING. http://www.isb-sib.ch/. Protein Sequence Databases. PIR - International Protein Sequence Database. http://pir.georgetown.edu. Protein Data Bank.

401 views • 20 slides

Lecture 92-09

Lecture 92-09. PROTEIN SEQUENCE ANALYSIS. PROTEIN DATABASES. PROTEIN SEQUENCE. PROPERTIES. TOOLS. MOTIF/DOMAIN. FOLDINDING. http://www.isb-sib.ch/. Protein Sequence Databases. PIR - International Protein Sequence Database. http://pir.georgetown.edu. Protein Data Bank.

383 views • 19 slides