Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrepresented upstream motifs - Wikidata - awgldk - TriplyDB

Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrepresented upstream motifs

Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrepresented upstream motifs

http://www.wikidata.org/entity/Q24803152

about

Conserved transcription factor binding sites of cancer markers derived from primary lung adenocarcinoma microarrays Comparing functional annotation analyses with Catmap Ab initio identification of putative human transcription factor binding sites by comparative genomics Correlated fragile site expression allows the identification of candidate fragile genes involved in immunity and associated with carcinogenesis.GONOME: measuring correlations between GO terms and genomic positions.BLISS: binding site level identification of shared signal-modules in DNA regulatory sequences.Identification of candidate regulatory sequences in mammalian 3' UTRs by statistical analysis of oligonucleotide distributions.Identification of DNA-binding protein target sequences by physical effective energy functions: free energy analysis of lambda repressor-DNA complexes.Genome-wide survey of microRNA-transcription factor feed-forward regulatory circuits in human.Ab initio identification of novel regulatory elements in the genome of Trypanosoma brucei by Bayesian inference on sequence segmentation A survey of motif discovery methods in an integrated framework Motif discovery and transcription factor binding sites before and after the next-generation sequencing era.Associating transcription factor-binding site motifs with target GO terms and target genes.Machine learning for regulatory analysis and transcription factor target prediction in yeast SIRT1 gene expression upon genotoxic damage is regulated by APE1 through nCaRE-promoter elements.The identification of functional motifs in temporal gene expression analysis.Parallel adaptive evolution cultures of Escherichia coli lead to convergent growth phenotypes with different gene expression states Latent pathway activation and increased pathway capacity enable Escherichia coli adaptation to loss of key metabolic enzymes.Networks of motifs from sequences of symbols.

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Computational identification of transcription factor binding sites by functional analysis of sets of genes sharing overrepresented upstream motifs

http://www.wikidata.org/entity/Q24803152

description

2004 nî lūn-bûn

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2004 թուականի Մայիսին հրատարակուած գիտական յօդուած

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2004 թվականի մայիսին հրատարակված գիտական հոդված

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2004年の論文

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2004年論文

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2004年論文

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2004年論文

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2004年論文

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2004年論文

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2004年论文

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name

Computational identification o ...... verrepresented upstream motifs

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Computational identification o ...... verrepresented upstream motifs

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Computational identification o ...... verrepresented upstream motifs

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type

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Computational identification o ...... verrepresented upstream motifs

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Computational identification o ...... verrepresented upstream motifs

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Computational identification o ...... verrepresented upstream motifs

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prefLabel

Computational identification o ...... verrepresented upstream motifs

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Computational identification o ...... verrepresented upstream motifs

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Computational identification o ...... verrepresented upstream motifs

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BMC Bioinformatics

P1476

Computational identification o ...... verrepresented upstream motifs

@en

P2093

Davide Corà

http://www.w3.org/2001/XMLSchema#string

Lorenzo Silengo

http://www.w3.org/2001/XMLSchema#string

Paolo Provero

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P2860

Sequencing and comparison of yeast species to identify genes and regulatory elements

Gene ontology: tool for the unification of biology

Correlating overrepresented upstream motifs to gene expression: a computational approach to regulatory element discovery in eukaryotes

Basic local alignment search tool

Transcriptional regulatory networks in Saccharomyces cerevisiae

Complex transcriptional circuitry at the G1/S transition in Saccharomyces cerevisiae.

Upc2p and Ecm22p, dual regulators of sterol biosynthesis in Saccharomyces cerevisiae.

The fork head transcription factor Hcm1p participates in the regulation of SPC110, which encodes the calmodulin-binding protein in the yeast spindle pole body.

The Saccharomyces cerevisiae zinc finger proteins Msn2p and Msn4p are required for transcriptional induction through the stress response element (STRE)

Computational identification of cis-regulatory elements associated with groups of functionally related genes in Saccharomyces cerevisiae

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57

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scholarly article

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10.1186/1471-2105-5-57

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1

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5

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Michele Caselle

Ferdinando Di Cunto

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2004-05-11T00:00:00Z

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8567886

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1037234951

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15137914

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449910

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