Analysis of computational approaches for motif discovery.
about
Finding sequence motifs with Bayesian models incorporating positional information: an application to transcription factor binding sitesLASAGNA: a novel algorithm for transcription factor binding site alignmentAssessment of algorithms for inferring positional weight matrix motifs of transcription factor binding sites using protein binding microarray data.DISPARE: DIScriminative PAttern REfinement for Position Weight MatricesA review of ensemble methods for de novo motif discovery in ChIP-Seq data.WeederH: an algorithm for finding conserved regulatory motifs and regions in homologous sequencesImproved benchmarks for computational motif discovery.An analysis of the positional distribution of DNA motifs in promoter regions and its biological relevanceEfficient exact motif discovery.Evolutionary divergence and limits of conserved non-coding sequence detection in plant genomes.Correlating CpG islands, motifs, and sequence variants in human chromosome 21.PairMotif: A new pattern-driven algorithm for planted (l, d) DNA motif searchSearching for transcription factor binding sites in vector spacesHow does DNA sequence motif discovery work?Genome-wide computational prediction and analysis of core promoter elements across plant monocots and dicots.Positional clustering improves computational binding site detection and identifies novel cis-regulatory sites in mammalian GABAA receptor subunit genes.Motif discovery and transcription factor binding sites before and after the next-generation sequencing era.Towards the integrated analysis, visualization and reconstruction of microbial gene regulatory networks.In silico promoters: modelling of cis-regulatory context facilitates target predictio.Recent computational approaches to understand gene regulation: mining gene regulation in silico.Finding sequence motifs in prokaryotic genomes--a brief practical guide for a microbiologist.Finding motifs in DNA sequences using low-dispersion sequencesA combinatorial optimization approach for diverse motif finding applications.Evaluating deterministic motif significance measures in protein databases.Learning Hidden Markov Models for Regression using Path Aggregation.A novel swarm intelligence algorithm for finding DNA motifs.A high-throughput percentage-of-binding strategy to measure binding energies in DNA-protein interactions: application to genome-scale site discovery.Position-dependent motif characterization using non-negative matrix factorization.An improved compound Poisson model for the number of motif hits in DNA sequences.Computational discovery of soybean promoter cis-regulatory elements for the construction of soybean cyst nematode-inducible synthetic promoters.MProfiler: A Profile-Based Method for DNA Motif DiscoveryRecent Advances in the Computational Discovery of Transcription Factor Binding Sites
P2860
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P2860
Analysis of computational approaches for motif discovery.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年論文
@yue
2006年論文
@zh-hant
2006年論文
@zh-hk
2006年論文
@zh-mo
2006年論文
@zh-tw
2006年论文
@wuu
2006年论文
@zh
2006年论文
@zh-cn
name
Analysis of computational approaches for motif discovery.
@en
Analysis of computational approaches for motif discovery.
@nl
type
label
Analysis of computational approaches for motif discovery.
@en
Analysis of computational approaches for motif discovery.
@nl
prefLabel
Analysis of computational approaches for motif discovery.
@en
Analysis of computational approaches for motif discovery.
@nl
P2860
P356
P1476
Analysis of computational approaches for motif discovery.
@en
P2093
P2860
P2888
P356
10.1186/1748-7188-1-8
P577
2006-05-19T00:00:00Z
P5875
P6179
1041958849