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Articles 1 - 3 of 3
Full-Text Articles in Computational Biology
The Importance Of Physicochemical Characteristics And Nonlinear Classifiers In Determining Hiv-1 Protease Specificity, Timmy Manning, Paul Walsh
The Importance Of Physicochemical Characteristics And Nonlinear Classifiers In Determining Hiv-1 Protease Specificity, Timmy Manning, Paul Walsh
Department of Biological Sciences Publications
This paper reviews recent research relating to the application of bioinformatics approaches to determining HIV-1 protease specificity, outlines outstanding issues, and presents a new approach to addressing these issues. Leading machine learning theory for the problem currently suggests that the direct encoding of the physicochemical properties of the amino acid substrates is not required for optimal performance. A number of amino acid encoding approaches which incorporate potentially relevant physicochemical properties of the substrate are identified, and are evaluated using a nonlinear task decomposition based neuroevolution algorithm. The results are evaluated, and compared against a recent benchmark set on a nonlinear …
An Exploration Of The Phylogenetic Placement Of Recently Discovered Ultrasmall Archaeal Lineages, Jeffrey M. O'Brien
An Exploration Of The Phylogenetic Placement Of Recently Discovered Ultrasmall Archaeal Lineages, Jeffrey M. O'Brien
Honors Scholar Theses
In recent years, several new clades within the domain Achaea have been discovered. This is due in part to microbiological sampling of novel environments, and the increasing ability to detect and sequence uncultivable organisms through metagenomic analysis. These organisms share certain features, such as small cell size and streamlined genomes. Reduction in genome size can present difficulties to phylogenetic reconstruction programs. Since there is less genetic data to work with, these organisms often have missing genes in concatenated multiple sequence alignments. Evolutionary Biologists have not reached a consensus on the placement of these lineages in the archaeal evolutionary tree. There …
Introduction To Gene Enrichment Analysis Tools, Rolando Garcia-Milian
Introduction To Gene Enrichment Analysis Tools, Rolando Garcia-Milian
Rolando Garcia-Milian
Bioinformatics enrichment tools play an important role in identifying, annotating, and functionally analyzing large list of genes generated by high-throughput technologies (e.g. microarrary, RNA-seq, ChIP-chip). This workshop will provide an overview of the principle, type of enrichments, and the infrastructure of enrichment tools. By using concrete examples, it will also introduce some of the most popular tools for gene enrichment analysis such as DAVID, GSEA, and WebGestalt.