'Genes proteins' diaporamas de présentation

Introduction to BioComputing Biology in silico 3 rd February 2010

Introduction to BioComputing Biology in silico 3 rd February 2010. Carrie Iwema , PhD, MLS Molecular Biology Information Specialist Health Sciences Library System University of Pittsburgh iwema@pitt.edu http://www.hsls.pitt.edu/guides/genetics. General Topics. Information Overload

923 views • 77 slides

Pattern storage in gene-protein networks

Ronald Westra Department of Mathematics Maastricht University. Pattern storage in gene-protein networks. Items in this Presentation. 1. Problem formulation 2. Modeling of gene/proteins interactions 3. Information Processing in Gene-Protein Networks

643 views • 51 slides

Dynamic Programming and Biological Sequence Comparison

449 views • 36 slides

Network modeling links breast cancer susceptibility and centrosome dysfunction

Network modeling links breast cancer susceptibility and centrosome dysfunction. Pujana et al. Nature genetics, 2007 Presented by Meeyoung Park Feb. 29, 2008. Outline. Introduction Methods & Results Discussion Conclusion. Motivation.

442 views • 35 slides

Biological Integrated Knowledge Environment

Biological Integrated Knowledge Environment.

390 views • 34 slides

Gene Clustering by Latent Semantic Indexing of MEDLINE Abstracts

Gene Clustering by Latent Semantic Indexing of MEDLINE Abstracts. Ramin Homayouni, Kevin Heinrich, Lai Wei, and Michael W. Berry University of Tennessee presented by J. Jiang. Outline. Brief Overview of Biomedical Literature Mining The Gene Clustering Problem Latent Semantic Indexing

356 views • 21 slides

Trends and Prospects in Functional Genomics and Bioinformatics

Trends and Prospects in Functional Genomics and Bioinformatics. Helsinki, October 2000. The Genome Sequencing efforts (28 major centers world-wide). Sequences of genomes for over 600 organism can be found in current public databases ( Entrez-Genomes )

542 views • 21 slides

Protein Evolution and Sequence Analysis

Protein Evolution and Sequence Analysis. Central Premise. Significant sequence similarity allows one to assign function to an unknown protein(s) based on properties of known proteins and is a direct consequence of evolutionary relationships.

269 views • 11 slides

Protein Evolution and Sequence Analysis

Protein Evolution and Sequence Analysis. Central Premise. Significant sequence similarity allows one to assign function to an unknown protein(s) based on properties of known proteins and is a direct consequence of evolutionary relationships.

118 views • 11 slides

PaLS : P athways a nd L iterature S trainer

PaLS : P athways a nd L iterature S trainer. Filtering common literature, ontology terms and pathway information. Andrés Cañada Pallarés Instituto Nacional de Bioinformática acanada@cnio.es. INTRODUCTION.

157 views • 7 slides

Mapping Medline Papers, Genes, and Proteins Related to Melanoma Research

127 views • 1 slides