543 related articles for article (PubMed ID: 30416387)
1.
Zeng J; Li G
Int J Biol Sci; 2018; 14(12):1724-1731. PubMed ID: 30416387
[No Abstract] [Full Text] [Related]
2. Seqinspector: position-based navigation through the ChIP-seq data landscape to identify gene expression regulators.
Piechota M; Korostynski M; Ficek J; Tomski A; Przewlocki R
BMC Bioinformatics; 2016 Feb; 17():85. PubMed ID: 26868127
[TBL] [Abstract][Full Text] [Related]
3. Cistrome Data Browser: a data portal for ChIP-Seq and chromatin accessibility data in human and mouse.
Mei S; Qin Q; Wu Q; Sun H; Zheng R; Zang C; Zhu M; Wu J; Shi X; Taing L; Liu T; Brown M; Meyer CA; Liu XS
Nucleic Acids Res; 2017 Jan; 45(D1):D658-D662. PubMed ID: 27789702
[TBL] [Abstract][Full Text] [Related]
4. NGS-QC Generator: A Quality Control System for ChIP-Seq and Related Deep Sequencing-Generated Datasets.
Mendoza-Parra MA; Saleem MA; Blum M; Cholley PE; Gronemeyer H
Methods Mol Biol; 2016; 1418():243-65. PubMed ID: 27008019
[TBL] [Abstract][Full Text] [Related]
5. Analysis of ChIP-Seq and RNA-Seq Data with BioWardrobe.
Vallabh S; Kartashov AV; Barski A
Methods Mol Biol; 2018; 1783():343-360. PubMed ID: 29767371
[TBL] [Abstract][Full Text] [Related]
6. ChiLin: a comprehensive ChIP-seq and DNase-seq quality control and analysis pipeline.
Qin Q; Mei S; Wu Q; Sun H; Li L; Taing L; Chen S; Li F; Liu T; Zang C; Xu H; Chen Y; Meyer CA; Zhang Y; Brown M; Long HW; Liu XS
BMC Bioinformatics; 2016 Oct; 17(1):404. PubMed ID: 27716038
[TBL] [Abstract][Full Text] [Related]
7. XL-DNase-seq: improved footprinting of dynamic transcription factors.
Oh KS; Ha J; Baek S; Sung MH
Epigenetics Chromatin; 2019 Jun; 12(1):30. PubMed ID: 31164146
[TBL] [Abstract][Full Text] [Related]
8. Integrative analysis of ChIP-chip and ChIP-seq dataset.
Zhu LJ
Methods Mol Biol; 2013; 1067():105-24. PubMed ID: 23975789
[TBL] [Abstract][Full Text] [Related]
9. Using combined evidence from replicates to evaluate ChIP-seq peaks.
Jalili V; Matteucci M; Masseroli M; Morelli MJ
Bioinformatics; 2015 Sep; 31(17):2761-9. PubMed ID: 25957351
[TBL] [Abstract][Full Text] [Related]
10. CATCH-UP: A High-Throughput Upstream-Pipeline for Bulk ATAC-Seq and ChIP-Seq Data.
Riva SG; Georgiades E; Gur ER; Baxter M; Hughes JR
J Vis Exp; 2023 Sep; (199):. PubMed ID: 37811941
[TBL] [Abstract][Full Text] [Related]
11. ChIPseek, a web-based analysis tool for ChIP data.
Chen TW; Li HP; Lee CC; Gan RC; Huang PJ; Wu TH; Lee CY; Chang YF; Tang P
BMC Genomics; 2014 Jun; 15(1):539. PubMed ID: 24974934
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. BinDNase: a discriminatory approach for transcription factor binding prediction using DNase I hypersensitivity data.
Kähärä J; Lähdesmäki H
Bioinformatics; 2015 Sep; 31(17):2852-9. PubMed ID: 25957350
[TBL] [Abstract][Full Text] [Related]
15. DEBrowser: interactive differential expression analysis and visualization tool for count data.
Kucukural A; Yukselen O; Ozata DM; Moore MJ; Garber M
BMC Genomics; 2019 Jan; 20(1):6. PubMed ID: 30611200
[TBL] [Abstract][Full Text] [Related]
16. BAMscale: quantification of next-generation sequencing peaks and generation of scaled coverage tracks.
Pongor LS; Gross JM; Vera Alvarez R; Murai J; Jang SM; Zhang H; Redon C; Fu H; Huang SY; Thakur B; Baris A; Marino-Ramirez L; Landsman D; Aladjem MI; Pommier Y
Epigenetics Chromatin; 2020 Apr; 13(1):21. PubMed ID: 32321568
[TBL] [Abstract][Full Text] [Related]
17. ATAC2GRN: optimized ATAC-seq and DNase1-seq pipelines for rapid and accurate genome regulatory network inference.
Pranzatelli TJF; Michael DG; Chiorini JA
BMC Genomics; 2018 Jul; 19(1):563. PubMed ID: 30064353
[TBL] [Abstract][Full Text] [Related]
18. MotifGenie: a Python application for searching transcription factor binding sequences using ChIP-Seq datasets.
Oguztuzun C; Yasar P; Yavuz K; Muyan M; Can T
Bioinformatics; 2021 Nov; 37(22):4238-4239. PubMed ID: 33999190
[TBL] [Abstract][Full Text] [Related]
19. Chromatin Immunoprecipitation and High-Throughput Sequencing (ChIP-Seq): Tips and Tricks Regarding the Laboratory Protocol and Initial Downstream Data Analysis.
Patten DK; Corleone G; Magnani L
Methods Mol Biol; 2018; 1767():271-288. PubMed ID: 29524141
[TBL] [Abstract][Full Text] [Related]
20. Genome-Scale Analysis of Cell-Specific Regulatory Codes Using Nuclear Enzymes.
Baek S; Sung MH
Methods Mol Biol; 2016; 1418():225-40. PubMed ID: 27008018
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]