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Gene Ontology: tool for the unification of biology

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TLDR
The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing.
Abstract
Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.

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Impacts of bioinformatics to medicinal chemistry.

TL;DR: This minireview is to summarize the progresses by focusing on the following six aspects: Use the pseudo amino acid composition or PseAAC to predict various attributes of protein/peptide sequences that are useful for drug development.
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Whole-proteome prediction of protein function via graph-theoretic analysis of interaction maps

TL;DR: A network-flow based algorithm, FunctionalFlow, is developed that exploits the underlying structure of protein interaction maps in order to predict protein function and has improved performance over previous methods in predicting the function of proteins with few (or no) annotated protein neighbors.
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Somatic mutation in single human neurons tracks developmental and transcriptional history.

TL;DR: Somatic mutations in the brain represent a durable and ongoing record of neuronal life history, from development through postmitotic function, and create nested lineage trees, allowing them to be dated relative to developmental landmarks and revealing a polyclonal architecture of the human cerebral cortex.
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Mistranslation of membrane proteins and two-component system activation trigger antibiotic-mediated cell death.

TL;DR: It is shown, by disabling systems that facilitate membrane protein traffic, that mistranslation and misfolding of membrane proteins are central to aminoglycoside-induced oxidative stress and cell death.
References
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Journal ArticleDOI

Cluster analysis and display of genome-wide expression patterns

TL;DR: A system of cluster analysis for genome-wide expression data from DNA microarray hybridization is described that uses standard statistical algorithms to arrange genes according to similarity in pattern of gene expression, finding in the budding yeast Saccharomyces cerevisiae that clustering gene expression data groups together efficiently genes of known similar function.
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The Pfam protein families database

TL;DR: The definition and use of family-specific, manually curated gathering thresholds are explained and some of the features of domains of unknown function (also known as DUFs) are discussed, which constitute a rapidly growing class of families within Pfam.
Journal ArticleDOI

The genome sequence of Drosophila melanogaster

Mark Raymond Adams, +194 more
- 24 Mar 2000 - 
TL;DR: The nucleotide sequence of nearly all of the approximately 120-megabase euchromatic portion of the Drosophila genome is determined using a whole-genome shotgun sequencing strategy supported by extensive clone-based sequence and a high-quality bacterial artificial chromosome physical map.
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Comprehensive Identification of Cell Cycle–regulated Genes of the Yeast Saccharomyces cerevisiae by Microarray Hybridization

TL;DR: A comprehensive catalog of yeast genes whose transcript levels vary periodically within the cell cycle is created, and it is found that the mRNA levels of more than half of these 800 genes respond to one or both of these cyclins.
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