183 related articles for article (PubMed ID: 38514783)
1. Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis.
Mitra S; Malik R; Wong W; Rahman A; Hartemink AJ; Pritykin Y; Dey KK; Leslie CS
Nat Genet; 2024 Apr; 56(4):627-636. PubMed ID: 38514783
[TBL] [Abstract][Full Text] [Related]
2. Chromatin accessibility and gene expression during adipocyte differentiation identify context-dependent effects at cardiometabolic GWAS loci.
Perrin HJ; Currin KW; Vadlamudi S; Pandey GK; Ng KK; Wabitsch M; Laakso M; Love MI; Mohlke KL
PLoS Genet; 2021 Oct; 17(10):e1009865. PubMed ID: 34699533
[TBL] [Abstract][Full Text] [Related]
3. Hydrop enables droplet-based single-cell ATAC-seq and single-cell RNA-seq using dissolvable hydrogel beads.
De Rop FV; Ismail JN; Bravo González-Blas C; Hulselmans GJ; Flerin CC; Janssens J; Theunis K; Christiaens VM; Wouters J; Marcassa G; de Wit J; Poovathingal S; Aerts S
Elife; 2022 Feb; 11():. PubMed ID: 35195064
[TBL] [Abstract][Full Text] [Related]
4. Global prediction of chromatin accessibility using small-cell-number and single-cell RNA-seq.
Zhou W; Ji Z; Fang W; Ji H
Nucleic Acids Res; 2019 Nov; 47(19):e121. PubMed ID: 31428792
[TBL] [Abstract][Full Text] [Related]
5. Single-cell insights: pioneering an integrated atlas of chromatin accessibility and transcriptomic landscapes in diabetic cardiomyopathy.
Su Q; Huang W; Huang Y; Dai R; Chang C; Li QY; Liu H; Li Z; Zhao Y; Wu Q; Pan DG
Cardiovasc Diabetol; 2024 Apr; 23(1):139. PubMed ID: 38664790
[TBL] [Abstract][Full Text] [Related]
6. Identification of genomic enhancers through spatial integration of single-cell transcriptomics and epigenomics.
Bravo González-Blas C; Quan XJ; Duran-Romaña R; Taskiran II; Koldere D; Davie K; Christiaens V; Makhzami S; Hulselmans G; de Waegeneer M; Mauduit D; Poovathingal S; Aibar S; Aerts S
Mol Syst Biol; 2020 May; 16(5):e9438. PubMed ID: 32431014
[TBL] [Abstract][Full Text] [Related]
7. Highly sensitive single-cell chromatin accessibility assay and transcriptome coassay with METATAC.
Wu H; Li X; Jian F; Yisimayi A; Zheng Y; Tan L; Xing D; Xie XS
Proc Natl Acad Sci U S A; 2022 Oct; 119(40):e2206450119. PubMed ID: 36161934
[TBL] [Abstract][Full Text] [Related]
8. Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types.
Kim SS; Truong B; Jagadeesh K; Dey KK; Shen AZ; Raychaudhuri S; Kellis M; Price AL
Nat Commun; 2024 Jan; 15(1):563. PubMed ID: 38233398
[TBL] [Abstract][Full Text] [Related]
9. Learning single-cell chromatin accessibility profiles using meta-analytic marker genes.
Kawaguchi RK; Tang Z; Fischer S; Rajesh C; Tripathy R; Koo PK; Gillis J
Brief Bioinform; 2023 Jan; 24(1):. PubMed ID: 36549922
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. DeepTACT: predicting 3D chromatin contacts via bootstrapping deep learning.
Li W; Wong WH; Jiang R
Nucleic Acids Res; 2019 Jun; 47(10):e60. PubMed ID: 30869141
[TBL] [Abstract][Full Text] [Related]
12. Mapping cis-regulatory chromatin contacts in neural cells links neuropsychiatric disorder risk variants to target genes.
Song M; Yang X; Ren X; Maliskova L; Li B; Jones IR; Wang C; Jacob F; Wu K; Traglia M; Tam TW; Jamieson K; Lu SY; Ming GL; Li Y; Yao J; Weiss LA; Dixon JR; Judge LM; Conklin BR; Song H; Gan L; Shen Y
Nat Genet; 2019 Aug; 51(8):1252-1262. PubMed ID: 31367015
[TBL] [Abstract][Full Text] [Related]
13. Genetic sequence-based prediction of long-range chromatin interactions suggests a potential role of short tandem repeat sequences in genome organization.
Nikumbh S; Pfeifer N
BMC Bioinformatics; 2017 Apr; 18(1):218. PubMed ID: 28420341
[TBL] [Abstract][Full Text] [Related]
14. A deep generative model for multi-view profiling of single-cell RNA-seq and ATAC-seq data.
Li G; Fu S; Wang S; Zhu C; Duan B; Tang C; Chen X; Chuai G; Wang P; Liu Q
Genome Biol; 2022 Jan; 23(1):20. PubMed ID: 35022082
[TBL] [Abstract][Full Text] [Related]
15. A Unified Deep Learning Framework for Single-Cell ATAC-Seq Analysis Based on ProdDep Transformer Encoder.
Wang Z; Zhang Y; Yu Y; Zhang J; Liu Y; Zou Q
Int J Mol Sci; 2023 Mar; 24(5):. PubMed ID: 36902216
[TBL] [Abstract][Full Text] [Related]
16. A single-cell atlas of chromatin accessibility in the human genome.
Zhang K; Hocker JD; Miller M; Hou X; Chiou J; Poirion OB; Qiu Y; Li YE; Gaulton KJ; Wang A; Preissl S; Ren B
Cell; 2021 Nov; 184(24):5985-6001.e19. PubMed ID: 34774128
[TBL] [Abstract][Full Text] [Related]
17. Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility using scRNA-Seq and scATAC-Seq.
Weir K; Leavey P; Santiago C; Blackshaw S
J Vis Exp; 2021 Mar; (169):. PubMed ID: 33779599
[TBL] [Abstract][Full Text] [Related]
18. Promoter Capture Hi-C: High-resolution, Genome-wide Profiling of Promoter Interactions.
Schoenfelder S; Javierre BM; Furlan-Magaril M; Wingett SW; Fraser P
J Vis Exp; 2018 Jun; (136):. PubMed ID: 30010637
[TBL] [Abstract][Full Text] [Related]
19. Genome-wide analysis of chromatin accessibility using ATAC-seq.
Shashikant T; Ettensohn CA
Methods Cell Biol; 2019; 151():219-235. PubMed ID: 30948010
[TBL] [Abstract][Full Text] [Related]
20. ChromaFold predicts the 3D contact map from single-cell chromatin accessibility.
Gao VR; Yang R; Das A; Luo R; Luo H; McNally DR; Karagiannidis I; Rivas MA; Wang ZM; Barisic D; Karbalayghareh A; Wong W; Zhan YA; Chin CR; Noble W; Bilmes JA; Apostolou E; Kharas MG; Béguelin W; Viny AD; Huangfu D; Rudensky AY; Melnick AM; Leslie CS
bioRxiv; 2023 Jul; ():. PubMed ID: 37546906
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
