Promoter prediction and annotation of microbial genomes based on DNA sequence and structural responses to superhelical stress.
about
Assessing the effects of data selection and representation on the development of reliable E. coli sigma 70 promoter region predictors.The human genomic melting map.Superhelical destabilization in regulatory regions of stress response genes.Triad pattern algorithm for predicting strong promoter candidates in bacterial genomes.An iterative strategy combining biophysical criteria and duration hidden Markov models for structural predictions of Chlamydia trachomatis sigma66 promoters.Promoter prediction in E. coli based on SIDD profiles and Artificial Neural Networks.nocoRNAc: characterization of non-coding RNAs in prokaryotes.Superhelical duplex destabilization and the recombination position effect.PromBase: a web resource for various genomic features and predicted promoters in prokaryotic genomes.Genome-wide distribution of transposed Dissociation elements in maize.Structural properties of prokaryotic promoter regions correlate with functional features.Distinguishing between productive and abortive promoters using a random forest classifier in Mycoplasma pneumoniae.Recognition of prokaryotic and eukaryotic promoters using convolutional deep learning neural networksGeneric eukaryotic core promoter prediction using structural features of DNA.Plasmid DNA vaccine vector design: impact on efficacy, safety and upstream production.Antimicrobial resistance induced by genetic changes.DNA structural properties in the classification of genomic transcription regulation elements.Redefining Escherichia coli σ(70) promoter elements: -15 motif as a complement of the -10 motif.Gains and unexpected lessons from genome-scale promoter mapping.IntergenicDB: a database for intergenic sequences.High DNA melting temperature predicts transcription start site location in human and mouse.Eukaryotic and prokaryotic promoter prediction using hybrid approach.Contribution of bacterial promoter elements to transcription start site detection accuracy.Structure and evolution of gene regulatory networks in microbial genomes.Structural features of DNA are conserved in the promoter region of orthologous genes across different strains of H. pylori.70ProPred: a predictor for discovering sigma70 promoters based on combining multiple features.
P2860
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P2860
Promoter prediction and annotation of microbial genomes based on DNA sequence and structural responses to superhelical stress.
description
2006 nî lūn-bûn
@nan
2006 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2006 թվականի մայիսին հրատարակված գիտական հոդված
@hy
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
name
Promoter prediction and annota ...... ponses to superhelical stress.
@ast
Promoter prediction and annota ...... ponses to superhelical stress.
@en
type
label
Promoter prediction and annota ...... ponses to superhelical stress.
@ast
Promoter prediction and annota ...... ponses to superhelical stress.
@en
prefLabel
Promoter prediction and annota ...... ponses to superhelical stress.
@ast
Promoter prediction and annota ...... ponses to superhelical stress.
@en
P2860
P356
P1433
P1476
Promoter prediction and annota ...... ponses to superhelical stress.
@en
P2093
Craig J Benham
Huiquan Wang
P2860
P2888
P356
10.1186/1471-2105-7-248
P577
2006-05-05T00:00:00Z
P5875
P6179
1037560423