BinDNase: a discriminatory approach for transcription factor binding prediction using DNase I hypersensitivity data.
about
Romulus: robust multi-state identification of transcription factor binding sites from DNase-seq data.Combining transcription factor binding affinities with open-chromatin data for accurate gene expression predictionPredicting transcription factor site occupancy using DNA sequence intrinsic and cell-type specific chromatin features.DeFCoM: analysis and modeling of transcription factor binding sites using a motif-centric genomic footprinter.Assessing the model transferability for prediction of transcription factor binding sites based on chromatin accessibility.An efficient method to transcription factor binding sites imputation via simultaneous completion of multiple matrices with positional consistency.Genomic footprinting.RegulatorTrail: a web service for the identification of key transcriptional regulators.Mocap: large-scale inference of transcription factor binding sites from chromatin accessibilityOn Accounting for Sequence-Specific Bias in Genome-Wide Chromatin Accessibility Experiments: Recent Advances and Contradictions.Universal correction of enzymatic sequence bias reveals molecular signatures of protein/DNA interactions.Integrated analysis of motif activity and gene expression changes of transcription factors.Deconvolving sequence features that discriminate between overlapping regulatory annotations.Analysis of computational footprinting methods for DNase sequencing experiments.Dynamic motif occupancy (DynaMO) analysis identifies transcription factors and their binding sites driving dynamic biological processes.
P2860
Q31092349-ADE3993A-D344-4BC7-BE8C-081BEBFE228EQ31145466-258D2AF3-3EBF-405F-B3A0-EE86D5BC0EC7Q35906139-BF0B4113-D183-4D8B-810D-07E6E836F640Q36228906-347C7ED5-B172-4811-99F2-C38431837CC8Q38657134-28DCFCCE-4742-49BE-AF6B-EF2D47C0ACA1Q38674116-C38B8CB8-FCBD-476F-AB58-45FF02F9F4E9Q38749638-09F169DE-FC5B-450D-9489-C821D87E849FQ38804041-8B2591FF-6929-4BBC-873A-1BBE69A701D8Q38882162-42679EA2-6CFF-4BFB-AA3A-4B751E0800B9Q42000285-7B78CDDA-DA96-4686-B665-893DCC7FAF74Q45072637-9DF4EE4D-EB4A-4067-9801-D28431E9BB6BQ45943015-9AAB57CA-8C68-4AE1-B73B-32FA07BA4086Q46075500-BE37B8BA-406C-4F6A-ACFA-F0DBC1361D30Q48232838-6D5EA4F5-FE82-4093-8C9A-B0A9AD015AECQ49538360-63FA294F-796D-4BC5-B724-08FF2469012D
P2860
BinDNase: a discriminatory approach for transcription factor binding prediction using DNase I hypersensitivity data.
description
2015 nî lūn-bûn
@nan
2015 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2015 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
BinDNase: a discriminatory app ...... DNase I hypersensitivity data.
@ast
BinDNase: a discriminatory app ...... DNase I hypersensitivity data.
@en
type
label
BinDNase: a discriminatory app ...... DNase I hypersensitivity data.
@ast
BinDNase: a discriminatory app ...... DNase I hypersensitivity data.
@en
prefLabel
BinDNase: a discriminatory app ...... DNase I hypersensitivity data.
@ast
BinDNase: a discriminatory app ...... DNase I hypersensitivity data.
@en
P2860
P356
P1433
P1476
BinDNase: a discriminatory app ...... DNase I hypersensitivity data.
@en
P2093
Juhani Kähärä
P2860
P304
P356
10.1093/BIOINFORMATICS/BTV294
P407
P577
2015-05-07T00:00:00Z