212 related articles for article (PubMed ID: 19561022)
1. Comparative study on ChIP-seq data: normalization and binding pattern characterization.
Taslim C; Wu J; Yan P; Singer G; Parvin J; Huang T; Lin S; Huang K
Bioinformatics; 2009 Sep; 25(18):2334-40. PubMed ID: 19561022
[TBL] [Abstract][Full Text] [Related]
2. Analyzing ChIP-seq data: preprocessing, normalization, differential identification, and binding pattern characterization.
Taslim C; Huang K; Huang T; Lin S
Methods Mol Biol; 2012; 802():275-91. PubMed ID: 22130887
[TBL] [Abstract][Full Text] [Related]
3. A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq data.
Han Z; Tian L; Pécot T; Huang T; Machiraju R; Huang K
BMC Bioinformatics; 2012 Mar; 13 Suppl 2(Suppl 2):S2. PubMed ID: 22536865
[TBL] [Abstract][Full Text] [Related]
4. Inference of hierarchical regulatory network of estrogen-dependent breast cancer through ChIP-based data.
Gu F; Hsu HK; Hsu PY; Wu J; Ma Y; Parvin J; Huang TH; Jin VX
BMC Syst Biol; 2010 Dec; 4():170. PubMed ID: 21167036
[TBL] [Abstract][Full Text] [Related]
5. QChIPat: a quantitative method to identify distinct binding patterns for two biological ChIP-seq samples in different experimental conditions.
Liu B; Yi J; Sv A; Lan X; Ma Y; Huang TH; Leone G; Jin VX
BMC Genomics; 2013; 14 Suppl 8(Suppl 8):S3. PubMed ID: 24564479
[TBL] [Abstract][Full Text] [Related]
6. Is this the right normalization? A diagnostic tool for ChIP-seq normalization.
Angelini C; Heller R; Volkinshtein R; Yekutieli D
BMC Bioinformatics; 2015 May; 16():150. PubMed ID: 25957089
[TBL] [Abstract][Full Text] [Related]
7. Differential motif enrichment analysis of paired ChIP-seq experiments.
Lesluyes T; Johnson J; Machanick P; Bailey TL
BMC Genomics; 2014 Sep; 15(1):752. PubMed ID: 25179504
[TBL] [Abstract][Full Text] [Related]
8. Genome-wide mapping of RNA Pol-II promoter usage in mouse tissues by ChIP-seq.
Pal S; Gupta R; Davuluri RV
Methods Mol Biol; 2014; 1176():1-9. PubMed ID: 25030914
[TBL] [Abstract][Full Text] [Related]
9. DIME: R-package for identifying differential ChIP-seq based on an ensemble of mixture models.
Taslim C; Huang T; Lin S
Bioinformatics; 2011 Jun; 27(11):1569-70. PubMed ID: 21471015
[TBL] [Abstract][Full Text] [Related]
10. Role of ChIP-seq in the discovery of transcription factor binding sites, differential gene regulation mechanism, epigenetic marks and beyond.
Mundade R; Ozer HG; Wei H; Prabhu L; Lu T
Cell Cycle; 2014; 13(18):2847-52. PubMed ID: 25486472
[TBL] [Abstract][Full Text] [Related]
11. Analysis of Myc Chromatin Binding by Calibrated ChIP-Seq Approach.
Cameron DP; Kuzin V; Baranello L
Methods Mol Biol; 2021; 2318():161-185. PubMed ID: 34019290
[TBL] [Abstract][Full Text] [Related]
12. Normalization of ChIP-seq data with control.
Liang K; Keleş S
BMC Bioinformatics; 2012 Aug; 13():199. PubMed ID: 22883957
[TBL] [Abstract][Full Text] [Related]
13. Temporal ChIP-on-Chip of RNA-Polymerase-II to detect novel gene activation events during photoreceptor maturation.
Tummala P; Mali RS; Guzman E; Zhang X; Mitton KP
Mol Vis; 2010 Feb; 16():252-71. PubMed ID: 20161818
[TBL] [Abstract][Full Text] [Related]
14. Practical guidelines for the comprehensive analysis of ChIP-seq data.
Bailey T; Krajewski P; Ladunga I; Lefebvre C; Li Q; Liu T; Madrigal P; Taslim C; Zhang J
PLoS Comput Biol; 2013; 9(11):e1003326. PubMed ID: 24244136
[TBL] [Abstract][Full Text] [Related]
15. A signal-noise model for significance analysis of ChIP-seq with negative control.
Xu H; Handoko L; Wei X; Ye C; Sheng J; Wei CL; Lin F; Sung WK
Bioinformatics; 2010 May; 26(9):1199-204. PubMed ID: 20371496
[TBL] [Abstract][Full Text] [Related]
16. Unified Analysis of Multiple ChIP-Seq Datasets.
Ma G; Babarinde IA; Zhuang Q; Hutchins AP
Methods Mol Biol; 2021; 2198():451-465. PubMed ID: 32822050
[TBL] [Abstract][Full Text] [Related]
17. ChIPulate: A comprehensive ChIP-seq simulation pipeline.
Datta V; Hannenhalli S; Siddharthan R
PLoS Comput Biol; 2019 Mar; 15(3):e1006921. PubMed ID: 30897079
[TBL] [Abstract][Full Text] [Related]
18. A Poisson mixture model to identify changes in RNA polymerase II binding quantity using high-throughput sequencing technology.
Feng W; Liu Y; Wu J; Nephew KP; Huang TH; Li L
BMC Genomics; 2008 Sep; 9 Suppl 2(Suppl 2):S23. PubMed ID: 18831789
[TBL] [Abstract][Full Text] [Related]
19. A clustering approach for identification of enriched domains from histone modification ChIP-Seq data.
Zang C; Schones DE; Zeng C; Cui K; Zhao K; Peng W
Bioinformatics; 2009 Aug; 25(15):1952-8. PubMed ID: 19505939
[TBL] [Abstract][Full Text] [Related]
20. A novel statistical method for quantitative comparison of multiple ChIP-seq datasets.
Chen L; Wang C; Qin ZS; Wu H
Bioinformatics; 2015 Jun; 31(12):1889-96. PubMed ID: 25682068
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
