Titlebook: Bioinformatics and Computational Biology; First International Sanguthevar Rajasekaran Conference proceedings 2009 Springer-Verlag Berlin H

watertight,

From Architecture to Function (and Back) in Bio-networks..My focus in the past few years has been on characterizing biological networks in terms of the underlying local topologies or building blocks, and linking those building blocks to observable function in living organisms. Here I describe a set of tools and techniques that help us do that, together w

Felicitous

Directed

Identifying Evolutionarily Conserved Protein Interaction Modules Using GraphHoppert global map of human-fly CPIMs. This map sheds light on the conservation of protein interaction modules in multi-cellular organisms. CPIMs related to development and the nervous system emerge only in the human-fly comparison. For example, a set of 10 interconnected CPIMs suggest that fly proteins i

Fulsome

The 2-Interval Pattern Matching Problems and Its Application to ncRNA Scanning(C,G), (U,G)} which are the case for RNA molecule, we can further improve the time complexity to O(..), where q is the length of the input RNA sequences. From the experiment, our new method requires a reasonable time (2.5 min) to scan the whole chromosome for an ncRNA family.

INERT

黃油沒有

A Biclustering Method to Discover Co-regulated Genes Using Diverse Gene Expression Datasets2, as the reference proteins to reveal genes and proteins important in the complex process of breast tumor formation. Experiments on 20 very large datasets showed that the top-ranked genes were remarkably enriched for genes that regulate the mitotic spindle and cytokinesis. The results imply that BR

ENACT

ABIDE

Edward M. Lenoe,Wenzel E. Davidsohne model for error correction and derive a lower bound on the coverage needed for its use. We present a validation of our framework with short reads from . and . synthetically generated at 300-fold coverage. Assembly of the . genome resulted in large contigs (50% of the genome covered by contigs larg

HUSH