Literature DB >> 33663563

simATAC: a single-cell ATAC-seq simulation framework.

Zeinab Navidi1, Lin Zhang2, Bo Wang3,4,5,6.   

Abstract

Single-cell assay for transposase-accessible chromatin sequencing (scATAC-seq) identifies regulated chromatin accessibility modules at the single-cell resolution. Robust evaluation is critical to the development of scATAC-seq pipelines, which calls for reproducible datasets for benchmarking. We hereby present the simATAC framework, an R package that generates scATAC-seq count matrices that highly resemble real scATAC-seq datasets in library size, sparsity, and chromatin accessibility signals. simATAC deploys statistical models derived from analyzing 90 real scATAC-seq cell groups. simATAC provides a robust and systematic approach to generate in silico scATAC-seq samples with known cell labels for assessing analytical pipelines.

Entities:  

Keywords:  Simulator; Single-cell; Software; scATAC-seq

Mesh:

Year:  2021        PMID: 33663563      PMCID: PMC7934446          DOI: 10.1186/s13059-021-02270-w

Source DB:  PubMed          Journal:  Genome Biol        ISSN: 1474-7596            Impact factor:   13.583


  30 in total

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Journal:  Cell       Date:  2018-04-26       Impact factor: 41.582

2.  Introduction to Single-Cell RNA Sequencing.

Authors:  Thale Kristin Olsen; Ninib Baryawno
Journal:  Curr Protoc Mol Biol       Date:  2018-04

3.  Single-nucleus analysis of accessible chromatin in developing mouse forebrain reveals cell-type-specific transcriptional regulation.

Authors:  Sebastian Preissl; Rongxin Fang; Hui Huang; Yuan Zhao; Ramya Raviram; David U Gorkin; Yanxiao Zhang; Brandon C Sos; Veena Afzal; Diane E Dickel; Samantha Kuan; Axel Visel; Len A Pennacchio; Kun Zhang; Bing Ren
Journal:  Nat Neurosci       Date:  2018-02-12       Impact factor: 24.884

4.  A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility.

Authors:  Darren A Cusanovich; Andrew J Hill; Delasa Aghamirzaie; Riza M Daza; Hannah A Pliner; Joel B Berletch; Galina N Filippova; Xingfan Huang; Lena Christiansen; William S DeWitt; Choli Lee; Samuel G Regalado; David F Read; Frank J Steemers; Christine M Disteche; Cole Trapnell; Jay Shendure
Journal:  Cell       Date:  2018-08-02       Impact factor: 41.582

5.  Single-cell chromatin accessibility reveals principles of regulatory variation.

Authors:  Jason D Buenrostro; Beijing Wu; Ulrike M Litzenburger; Dave Ruff; Michael L Gonzales; Michael P Snyder; Howard Y Chang; William J Greenleaf
Journal:  Nature       Date:  2015-06-17       Impact factor: 49.962

6.  Dr.seq2: A quality control and analysis pipeline for parallel single cell transcriptome and epigenome data.

Authors:  Chengchen Zhao; Sheng'en Hu; Xiao Huo; Yong Zhang
Journal:  PLoS One       Date:  2017-07-03       Impact factor: 3.240

7.  BROCKMAN: deciphering variance in epigenomic regulators by k-mer factorization.

Authors:  Carl G de Boer; Aviv Regev
Journal:  BMC Bioinformatics       Date:  2018-07-03       Impact factor: 3.169

8.  Identification of transcription factor binding sites using ATAC-seq.

Authors:  Zhijian Li; Marcel H Schulz; Thomas Look; Matthias Begemann; Martin Zenke; Ivan G Costa
Journal:  Genome Biol       Date:  2019-02-26       Impact factor: 13.583

9.  scAI: an unsupervised approach for the integrative analysis of parallel single-cell transcriptomic and epigenomic profiles.

Authors:  Suoqin Jin; Lihua Zhang; Qing Nie
Journal:  Genome Biol       Date:  2020-02-03       Impact factor: 17.906

10.  Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution.

Authors:  M Ryan Corces; Jason D Buenrostro; Beijing Wu; Peyton G Greenside; Steven M Chan; Julie L Koenig; Michael P Snyder; Jonathan K Pritchard; Anshul Kundaje; William J Greenleaf; Ravindra Majeti; Howard Y Chang
Journal:  Nat Genet       Date:  2016-08-15       Impact factor: 38.330

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  1 in total

1.  TooManyPeaks identifies drug-resistant-specific regulatory elements from single-cell leukemic epigenomes.

Authors:  Gregory W Schwartz; Yeqiao Zhou; Jelena Petrovic; Warren S Pear; Robert B Faryabi
Journal:  Cell Rep       Date:  2021-08-24       Impact factor: 9.423

  1 in total

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