'Protein interaction network' presentation slideshows

Adaptive evolution in prokaryotic transcriptional regulatory networks

Adaptive evolution in prokaryotic transcriptional regulatory networks. M. Madan Babu, PhD. NCBI, NLM National Institutes of Health. Network. Metabolic. Protein Interaction. Transcriptional. Proteins. Nodes Links. Metabolites. Transcription factor Target genes. Enzymatic

666 views • 53 slides

Structure and evolution of prokaryotic transcriptional regulatory networks

Structure and evolution of prokaryotic transcriptional regulatory networks. M. Madan Babu. Group Leader MRC Laboratory of Molecular Biology Cambridge. Network. Metabolic. Protein Interaction. Transcriptional. Proteins. Nodes Links. Metabolites. Transcription factor Target genes.

621 views • 52 slides

CSCE555 Bioinformatics

CSCE555 Bioinformatics. Lecture 18 Network Biology Meeting: MW 4:00PM-5:15PM SWGN2A21 Instructor: Dr. Jianjun Hu Course page: http://www.scigen.org/csce555. University of South Carolina Department of Computer Science and Engineering 2008 www.cse.sc.edu. Outline.

598 views • 52 slides

NCBI, NLM National Institutes of Health

Computational systems biology: from the generation of testable hypothesis to uncovering organizing principles in living systems. M. Madan Babu, PhD. NCBI, NLM National Institutes of Health. 45,000,000 sequences from 160,000 organisms (EBI, NCBI). Sequence. 33,000 structures from

438 views • 43 slides

Unified centrality measure of complex networks

NSPCS 08. Unified centrality measure of complex networks. Soon-Hyung Yook , Sungmin Lee, Yup Kim Kyung Hee University. Overview. Introduction interplay between dynamical process and underlying topology centrality measure shortest path betweenness centrality random walk centrality

440 views • 24 slides

2. Electrophoretic separation of proteins by charge (isoelectric

509 views • 21 slides

Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps

Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps. Authors: Nabieva, et al. Source: Bioinformatics 2005 Reviewed by BH Shen. Goal of the Research Problem.

370 views • 20 slides

Systematic Analysis of Interactome: A New Trend in Bioinformatics

KOCSEA Technical Symposium 2010. Systematic Analysis of Interactome: A New Trend in Bioinformatics. Young-Rae Cho, Ph.D. Assistant Professor Department of Computer Science Baylor University. History of Bioinformatics. Stage 1. Sequence Analysis. Gene sequencing Sequence alignment

328 views • 19 slides

Network Evolution (28.11.5 - 60 min.)

Network Evolution (28.11.5 - 60 min.). Networks in Cellular Biology A. Metabolic Pathways B. Regulatory Networks C. Signaling Pathways D. Protein Interaction Networks - PIN E. Other Networks The Internet Statistics of Networks Comparing Networks Network Matching

271 views • 16 slides

Team 1 Author: Kirill Osipov Presenter: Ferhat Ay

Cluster analysis of networks generated through homology: automatic identification of important protein communities involved in cancer metastasis Jonsson et al, BMC Bioinformatics, 2006. Team 1 Author: Kirill Osipov Presenter: Ferhat Ay. Background.

112 views • 11 slides