'Guide tree' presentation slideshows

Bestfit Output

Bestfit Output. sp1_human x egr1_human October 10, 2001 10:50 .. . . . . . 526 RGSGDPGKKKQ HICHIQGCGKVYGKTSHLRAHLRWHTGERPFMCTWSYCG 575 | | | .: : | :: | : : :. | |:| |||::|| | |

1.22k views • 108 slides

Sequence Alignment and Phylogenetic Analysis

Sequence Alignment and Phylogenetic Analysis. Evolution. Sequence Alignment. AGGCTATCACCTGACCTCCAGGCCGATGCCC TAGCTATCACGACCGCGGTCGATTTGCCCGAC. - AG G CTATCAC CT GACC T C CA GG C CGA -- TGCCC --- T AG - CTATCAC -- GACC G C -- GG T CGA TT TGCCC GAC. Definition

1.12k views • 100 slides

Multiple Sequence Alignment

Multiple Sequence Alignment. Alignment can be easy or difficult. Easy. Difficult due to insertions or deletions (indels). Homology: Definition.

1.01k views • 64 slides

Coffee Shop

Coffee Shop. F91921025 ??? F92921029 ??? F92921041 ??? R93921142 ??? R94921035 ???. Menu. Coffee Shop Opening Why coffee shop? Three Flavors COFFEE T-Coffee 3DCoffee Remarks Recipes. Multiple Sequence Alignment.

1.39k views • 61 slides

Multiple Sequence Alignment

Multiple Sequence Alignment. Based on slides by Irit Gat- Viks. Example. VTIS C TGSSSNIGAG-NHVK W YQQLPG VTIS C TGTSSNIGS--ITVN W YQQLPG LRLS C SSSGFIFSS--YAMY W VRQAPG LSLT C TVSGTSFDD--YYST W VRQPPG PEVT C VVVDVSHEDPQVKFN W YVDG-- ATLV C LISDFYPGA--VTVA W KADS--

964 views • 60 slides

Parallel Computational Biochemistry

Parallel Computational Biochemistry. Proteins, DNA, etc. DNA encodes the information necessary to produce proteins. Proteins are the main molecular building blocks of life (for example, structural proteins, enzymes). Proteins, DNA, etc.

668 views • 47 slides

634 views • 47 slides

480 views • 47 slides

Multiple s equence alignment and their reliability

Multiple s equence alignment and their reliability. The Bioinformatics Unit G.S. Wise Faculty of Life Science Tel Aviv University, Israel January 2013 By Haim Ashkenazy http://guidance.tau.ac.il/workshop_2013/. What are alignments good for?. To compare sequences Find homology

528 views • 43 slides

Bioinformatics Algorithms and Data Structures

Bioinformatics Algorithms and Data Structures. CLUSTAL W Algorithm Lecturer: Dr. Rose Slides by: Dr. Rose April 3, 2003. Multiple Sequence Alignment. CLUSTAL is an algorithm for aligning multiple sequences. Reasons for computing multiple alignments: Characterizing protein families

626 views • 42 slides

Bioinformatics Algorithms and Data Structures

Bioinformatics Algorithms and Data Structures. CLUSTAL W Algorithm Lecturer: Dr. Rose Slides by: Dr. Rose March 29, 2007. Multiple Sequence Alignment. CLUSTAL is an algorithm for aligning multiple sequences. Reasons for computing multiple alignments: Characterizing protein families

428 views • 42 slides

July 29, 2008, 7 to 10 PM

Marine Biological Laboratory, Woods Hole, MA Workshop on Molecular Evolution: multiple sequence analysis session. July 29, 2008, 7 to 10 PM. Multiple Sequence Alignment & Analysis with SeaView and MAFFT. Steven M. Thompson Florida State University School of Computational Science ( SCS ).

490 views • 38 slides

July 28, 2009, 7 to 10 PM

Marine Biological Laboratory, Woods Hole, MA Workshop on Molecular Evolution: multiple sequence analysis session. July 28, 2009, 7 to 10 PM. Multiple Sequence Alignment & Analysis with SeaView and MAFFT. Steven M. Thompson.

509 views • 38 slides

Feb. 9, 2009

333 views • 32 slides

Barking up the wrong tree: gaps in current phylogenetic methodology and a dawg-gone good solution

Barking up the wrong tree: gaps in current phylogenetic methodology and a dawg-gone good solution. Reed A. Cartwright Department of Genetics University of Georgia. Phylogenies. Phylogenies are not known. They are inferred.

404 views • 29 slides

Multiple Sequence Alignment

An Introduction to Bioinformatics. Multiple Sequence Alignment. AIMS. To introduce the different approaches to multiple sequence alignment. To identify criteria for selecting a multiple sequence alignment program. OBJECTIVES. To select an appropriate multiple sequence alignment program.

643 views • 28 slides

Practical multiple sequence algorithms

Practical multiple sequence algorithms. Sushmita Roy BMI/CS 576 www.biostat.wisc.edu/bmi576/ Sushmita Roy sroy@biostat.wisc.edu Sep 23rd, 2014. RECAP. Scores for multiple sequence alignment Sum of pairs Minimum entropy based

460 views • 28 slides

Umit Catalyurek , Mike Gray, Eric Stahlberg, Renato Ferreira, Tahsin Kurc, Joel Saltz

Improving Performance of Multiple Sequence Alignment Analysis in Multi-client Environments Use of Inexpensive Storage as Grid Cache. Umit Catalyurek , Mike Gray, Eric Stahlberg, Renato Ferreira, Tahsin Kurc, Joel Saltz. Department of Biomedical Informatics The Ohio State University.

366 views • 23 slides

Pairwise alignment

429 views • 22 slides

Julie D.Thompson, Desmond G.Higgins and Toby J.Gibson

CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Julie D.Thompson, Desmond G.Higgins and Toby J.Gibson. Nucleic Acids Research, 1994, Vol. 22, No. 22, pp. 4673-4680.

249 views • 10 slides