252 related articles for article (PubMed ID: 36719906)
1. maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.
Cazares TA; Rizvi FW; Iyer B; Chen X; Kotliar M; Bejjani AT; Wayman JA; Donmez O; Wronowski B; Parameswaran S; Kottyan LC; Barski A; Weirauch MT; Prasath VBS; Miraldi ER
PLoS Comput Biol; 2023 Jan; 19(1):e1010863. PubMed ID: 36719906
[TBL] [Abstract][Full Text] [Related]
2. Profiling of chromatin accessibility identifies transcription factor binding sites across the genome of Aspergillus species.
Huang L; Li X; Dong L; Wang B; Pan L
BMC Biol; 2021 Sep; 19(1):189. PubMed ID: 34488759
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. GNNMF: a multi-view graph neural network for ATAC-seq motif finding.
Zhang S; Wu X; Lian Z; Zuo C; Wang Y
BMC Genomics; 2024 Mar; 25(1):300. PubMed ID: 38515040
[TBL] [Abstract][Full Text] [Related]
5. Efficient chromatin accessibility mapping in situ by nucleosome-tethered tagmentation.
Henikoff S; Henikoff JG; Kaya-Okur HS; Ahmad K
Elife; 2020 Nov; 9():. PubMed ID: 33191916
[TBL] [Abstract][Full Text] [Related]
6. [Advances in assay for transposase-accessible chromatin with high-throughput sequencing].
Wu J; Quan JP; Ye Y; Wu ZF; Yang J; Yang M; Zheng EQ
Yi Chuan; 2020 Apr; 42(4):333-346. PubMed ID: 32312702
[TBL] [Abstract][Full Text] [Related]
7. Analytical Approaches for ATAC-seq Data Analysis.
Smith JP; Sheffield NC
Curr Protoc Hum Genet; 2020 Jun; 106(1):e101. PubMed ID: 32543102
[TBL] [Abstract][Full Text] [Related]
8. Chromatin accessibility profiling by ATAC-seq.
Grandi FC; Modi H; Kampman L; Corces MR
Nat Protoc; 2022 Jun; 17(6):1518-1552. PubMed ID: 35478247
[TBL] [Abstract][Full Text] [Related]
9. Optimization of ATAC-seq in wheat seedling roots using INTACT-isolated nuclei.
Debernardi JM; Burguener G; Bubb K; Liu Q; Queitsch C; Dubcovsky J
BMC Plant Biol; 2023 May; 23(1):270. PubMed ID: 37211599
[TBL] [Abstract][Full Text] [Related]
10. ATAC-Seq Analysis of Accessible Chromatin: From Experimental Steps to Data Analysis.
Tatara M; Ikeda T; Namekawa SH; Maezawa S
Methods Mol Biol; 2023; 2577():65-81. PubMed ID: 36173566
[TBL] [Abstract][Full Text] [Related]
11. AIAP: A Quality Control and Integrative Analysis Package to Improve ATAC-seq Data Analysis.
Liu S; Li D; Lyu C; Gontarz PM; Miao B; Madden PAF; Wang T; Zhang B
Genomics Proteomics Bioinformatics; 2021 Aug; 19(4):641-651. PubMed ID: 34273560
[TBL] [Abstract][Full Text] [Related]
12. Interrogating the Accessible Chromatin Landscape of Eukaryote Genomes Using ATAC-seq.
Marinov GK; Shipony Z
Methods Mol Biol; 2021; 2243():183-226. PubMed ID: 33606259
[TBL] [Abstract][Full Text] [Related]
13. Genome-Wide Analysis of Yeast Metabolic Cycle through Metabolic Network Models Reveals Superiority of Integrated ATAC-seq Data over RNA-seq Data.
Cesur MF; Çakır T; Pir P
mSystems; 2022 Jun; 7(3):e0134721. PubMed ID: 35695574
[TBL] [Abstract][Full Text] [Related]
14. Intrinsic bias estimation for improved analysis of bulk and single-cell chromatin accessibility profiles using SELMA.
Hu SS; Liu L; Li Q; Ma W; Guertin MJ; Meyer CA; Deng K; Zhang T; Zang C
Nat Commun; 2022 Sep; 13(1):5533. PubMed ID: 36130957
[TBL] [Abstract][Full Text] [Related]
15. ATAC-seq Optimization for Cancer Epigenetics Research.
Cooper M; Ray A; Bhattacharya A; Dhasarathy A; Takaku M
J Vis Exp; 2022 Jun; (184):. PubMed ID: 35848835
[TBL] [Abstract][Full Text] [Related]
16. scifi-ATAC-seq: massive-scale single-cell chromatin accessibility sequencing using combinatorial fluidic indexing.
Zhang X; Marand AP; Yan H; Schmitz RJ
Genome Biol; 2024 Apr; 25(1):90. PubMed ID: 38589969
[TBL] [Abstract][Full Text] [Related]
17. ATAC-seq Data Processing.
Kim DS
Methods Mol Biol; 2023; 2611():305-323. PubMed ID: 36807076
[TBL] [Abstract][Full Text] [Related]
18. Exploring Chromatin Accessibility in Mouse Epiblast Stem Cells with ATAC-Seq.
Salehin N; Santucci N; Osteil P; Tam PPL
Methods Mol Biol; 2022; 2490():93-100. PubMed ID: 35486242
[TBL] [Abstract][Full Text] [Related]
19. Visualization of the landscape of the read alignment shape of ATAC-seq data using Hellinger distance metric.
Cheng JH; Zheng C; Yamada R; Okada D
Genes Cells; 2024 Jan; 29(1):5-16. PubMed ID: 37989133
[TBL] [Abstract][Full Text] [Related]
20. MMGAT: a graph attention network framework for ATAC-seq motifs finding.
Wu X; Hou W; Zhao Z; Huang L; Sheng N; Yang Q; Zhang S; Wang Y
BMC Bioinformatics; 2024 Apr; 25(1):158. PubMed ID: 38643066
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
