ProQuest Subject Index - Bioinformatics at UNIVERSITY OF CALIFORNIA, BERKELEY

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You are viewing titles for UNIVERSITY OF CALIFORNIA, BERKELEY in the subject Bioinformatics available through the UMI Dissertations & Thesis Gradworks site.

A kinetic model for G protein-coupled signal transduction in macrophage cells	Algebraic combinatorics for computational biology

Annotation, alignment and reconstruction of non-coding RNA	Biochemical and biophysical characterization of the histone chaperone protein Asf1

CoGe, a new kind of comparative genomics platform: Insights into the evolution of plant genomes	Comparative and evolutionary analysis of cellular pathways

Comparative genomics in Drosophila	DNA repair in the chloroplast

Evolution, modularity, and dynamics of gene regulatory networks	Gene expression diversity and cis-regulatory sequence models in the transcriptional network of Drosophila embryogenesis

Identifying associations between natural selection and molecular function in human MHC genes	Mapping the affinities of sequence-specific DNA-binding proteins

Microevolutionary responses of the house sparrow to changing environments	On the shapes of tangled curves

Posterior decoding methods for optimization and accuracy control of multiple alignments	Predicting protein molecular function

Protein design: From in silico to in vivo	Regulation of V(D)J recombinase expression and the role of germline transcription in recombinase targeting during mouse B-cell development

Resampling methods for protein structure prediction	Statistical analysis of DNA sequence motifs and microarray data

Statistical mechanical approaches to informatics: Discovering motifs and clustering data	Statistical methods for neutral and adaptive genetic variation in continuous isolation-by-distance models

Transcriptome detection by multiple RNA tiling array analysis and identifying functional conserved non-coding elements by statistical testing	Unbiased population genetic inference from high-throughput sequencing data

Understanding stress response in Desulfovibrio vulgaris Hildenborough: A proteomics approach