'Global sequence alignment' presentation slideshows

Comparative genomics for biological discovery

1.26k views • 106 slides

Sequence Analysis Methods

LSM3241: Bioinformatics and Biocomputing Lecture 4: Sequence analysis methods revisited Prof. Chen Yu Zong Tel: 6874-6877 Email: csccyz@nus.edu.sg http://xin.cz3.nus.edu.sg Room 07-24, level 7, SOC1, National University of Singapore. Sequence Analysis Methods.

874 views • 84 slides

Sequence Analysis Methods

CZ5225: Modeling and Simulation in Biology Lecture 3: Sequence analysis methods Prof. Chen Yu Zong Tel: 6874-6877 Email: csccyz@nus.edu.sg http://xin.cz3.nus.edu.sg Room 07-24, level 7, SOC1, National University of Singapore. Sequence Analysis Methods.

865 views • 68 slides

Dynamic Programming for Sequence alignment

Dynamic Programming for Sequence alignment. Neha Jain Lecturer School of Biotechnology Devi Ahilya University, Indore. Sequence alignment.

1.47k views • 58 slides

Structure-based Analysis of Protein Function

Structure-based Analysis of Protein Function. Jacquelyn S. Fetrow Reynolds Professor of Computational Biophysics Departments of Physics and Computer Science Wake Forest University. PTPs and Serine Hydrolases. Jacquelyn S. Fetrow Wake Forest University. Need for Improved Proteome Analyses.

671 views • 49 slides

DNA Gene Identification

DNA Gene Identification. Speed, Accurate and Efficient way to identify the DNA. AGENDA. DNA Overview. Sequence Alignment. Problem & Previous Solutions. GPU & CUDA. Implemented Solution. GUI (Ribbon). Results. AGENDA. DNA Overview.

651 views • 44 slides

Sequence comparison: Dynamic programming

Lecture 2A Thursday, January 10, 2008. Sequence comparison: Dynamic programming. Genome 559: Introduction to Statistical and Computational Genomics Prof. William Stafford Noble. One-minute responses. Lecture on sequence comparison was quick enough to remind us of the basic concepts.

395 views • 39 slides

Dynamic Programming

Dynamic Programming. Prof. Navneet Goyal Department of Computer Science & Information Systems BITS, Pilani. Sequence Comparison. code full name A alanine C cysteine D aspartate E glutamate F phenylalanine G glycine H histidine

422 views • 29 slides

Class 8: Pair HMMs

Class 8: Pair HMMs. FSA ?HHMs: Why?. Advantages: Obtain reliability of alignment Explore alternative (sub-optimal) alignments Score similarity of sequences independent of any specific alignment. ?. W s. B q si. B (+1,+0). s ( s i ,t j ). 1 - ?. s ( s i ,t j ). ?. 1 -2 ?.

287 views • 15 slides

Medicago truncatula BAC mth1-13b3

Medicago truncatula BAC mth1-13b3. Courtney Johnson And Majesta Siegfried. Background and Significance.

274 views • 14 slides

Class 5: HMMs and Profile HMMs

Class 5: HMMs and Profile HMMs. Review of HMM. Hidden Markov Models Probabilistic models of sequences Consist of two parts: Hidden states These act like a stochastic automata Observations These are determined (stochastically) by the hidden state. 0.95. 0.9. 1: 1/10 2: 1/10 3: 1/10

231 views • 11 slides