Computational Biology

Sequencing and Genome Assembly Using Next-Generation Technologies.- RNA Structure Prediction.- Normalization of Gene-Expression Microarray Data.- Prediction of Transmembrane Topology and Signal Peptide Given a Protein’s Amino Acid Sequence.- Protein Structure Modeling.- Template-Based Protein Structure Modeling.- Automated Protein NMR Structure Determination in Solution.- Computational Tools in Protein Crystallography.- 3-D Structures of Macromolecules Using Single-Particle Analysis in EMAN.- Computational Design of Chimeric Protein Libraries for Directed Evolution.- Mass Spectrometric Protein Identification Using the Global Proteome Machine.- Unbiased Detection of Posttranslational Modifications Using Mass Spectrometry.- Protein Quantitation Using Mass Spectrometry.- Modeling Experimental Design for Proteomics.- A Functional Proteomic Study of the Trypanosoma brucei Nuclear Pore Complex: An Informatic Strategy.- Inference of Signal Transduction Networks from Double Causal Evidence.- Reverse Engineering Gene Regulatory Networks Related to Quorum Sensing in the Plant Pathogen Pectobacterium atrosepticum.- Parameter Inference and Model Selection in Signaling Pathway Models.- Genetic Algorithms and Their Application to In Silico Evolution of Genetic Regulatory Networks.