Literature DB >> 32543102

Analytical Approaches for ATAC-seq Data Analysis.

Jason P Smith1,2, Nathan C Sheffield1,2,3,4.   

Abstract

ATAC-seq, the assay for transposase-accessible chromatin using sequencing, is a quick and efficient approach to investigating the chromatin accessibility landscape. Investigating chromatin accessibility has broad utility for answering many biological questions, such as mapping nucleosomes, identifying transcription factor binding sites, and measuring differential activity of DNA regulatory elements. Because the ATAC-seq protocol is both simple and relatively inexpensive, there has been a rapid increase in the availability of chromatin accessibility data. Furthermore, advances in ATAC-seq protocols are rapidly extending its breadth to additional experimental conditions, cell types, and species. Accompanying the increase in data, there has also been an explosion of new tools and analytical approaches for analyzing it. Here, we explain the fundamentals of ATAC-seq data processing, summarize common analysis approaches, and review computational tools to provide recommendations for different research questions. This primer provides a starting point and a reference for analysis of ATAC-seq data.
© 2020 Wiley Periodicals LLC. © 2020 Wiley Periodicals LLC.

Entities:  

Keywords:  ATAC-seq; bioinformatics tools; chromatin accessibility; data analysis; open chromatin; pipelines

Mesh:

Substances:

Year:  2020        PMID: 32543102      PMCID: PMC8191135          DOI: 10.1002/cphg.101

Source DB:  PubMed          Journal:  Curr Protoc Hum Genet        ISSN: 1934-8258


  94 in total

1.  Cicero Predicts cis-Regulatory DNA Interactions from Single-Cell Chromatin Accessibility Data.

Authors:  Hannah A Pliner; Jonathan S Packer; José L McFaline-Figueroa; Darren A Cusanovich; Riza M Daza; Delasa Aghamirzaie; Sanjay Srivatsan; Xiaojie Qiu; Dana Jackson; Anna Minkina; Andrew C Adey; Frank J Steemers; Jay Shendure; Cole Trapnell
Journal:  Mol Cell       Date:  2018-08-02       Impact factor: 17.970

2.  DNase footprint signatures are dictated by factor dynamics and DNA sequence.

Authors:  Myong-Hee Sung; Michael J Guertin; Songjoon Baek; Gordon L Hager
Journal:  Mol Cell       Date:  2014-09-18       Impact factor: 17.970

Review 3.  Nucleosome positioning: how is it established, and why does it matter?

Authors:  Marta Radman-Livaja; Oliver J Rando
Journal:  Dev Biol       Date:  2009-06-13       Impact factor: 3.582

4.  cisTopic: cis-regulatory topic modeling on single-cell ATAC-seq data.

Authors:  Carmen Bravo González-Blas; Liesbeth Minnoye; Dafni Papasokrati; Sara Aibar; Gert Hulselmans; Valerie Christiaens; Kristofer Davie; Jasper Wouters; Stein Aerts
Journal:  Nat Methods       Date:  2019-04-08       Impact factor: 28.547

5.  ATAC-seq: A Method for Assaying Chromatin Accessibility Genome-Wide.

Authors:  Jason D Buenrostro; Beijing Wu; Howard Y Chang; William J Greenleaf
Journal:  Curr Protoc Mol Biol       Date:  2015-01-05

6.  regioneR: an R/Bioconductor package for the association analysis of genomic regions based on permutation tests.

Authors:  Bernat Gel; Anna Díez-Villanueva; Eduard Serra; Marcus Buschbeck; Miguel A Peinado; Roberto Malinverni
Journal:  Bioinformatics       Date:  2015-09-30       Impact factor: 6.937

7.  NucTools: analysis of chromatin feature occupancy profiles from high-throughput sequencing data.

Authors:  Yevhen Vainshtein; Karsten Rippe; Vladimir B Teif
Journal:  BMC Genomics       Date:  2017-02-14       Impact factor: 3.969

8.  ATAC2GRN: optimized ATAC-seq and DNase1-seq pipelines for rapid and accurate genome regulatory network inference.

Authors:  Thomas J F Pranzatelli; Drew G Michael; John A Chiorini
Journal:  BMC Genomics       Date:  2018-07-31       Impact factor: 3.969

9.  StereoGene: rapid estimation of genome-wide correlation of continuous or interval feature data.

Authors:  Elena D Stavrovskaya; Tejasvi Niranjan; Elana J Fertig; Sarah J Wheelan; Alexander V Favorov; Andrey A Mironov
Journal:  Bioinformatics       Date:  2017-10-15       Impact factor: 6.937

10.  Identifying and characterizing regulatory sequences in the human genome with chromatin accessibility assays.

Authors:  Nathan C Sheffield; Terrence S Furey
Journal:  Genes (Basel)       Date:  2012-10-15       Impact factor: 4.096

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  5 in total

Review 1.  Chromatin accessibility profiling by ATAC-seq.

Authors:  Fiorella C Grandi; Hailey Modi; Lucas Kampman; M Ryan Corces
Journal:  Nat Protoc       Date:  2022-04-27       Impact factor: 17.021

2.  Embeddings of genomic region sets capture rich biological associations in lower dimensions.

Authors:  Erfaneh Gharavi; Aaron Gu; Guangtao Zheng; Jason P Smith; Hyun Jae Cho; Aidong Zhang; Donald E Brown; Nathan C Sheffield
Journal:  Bioinformatics       Date:  2021-06-22       Impact factor: 6.931

3.  PEPATAC: an optimized pipeline for ATAC-seq data analysis with serial alignments.

Authors:  Jason P Smith; M Ryan Corces; Jin Xu; Vincent P Reuter; Howard Y Chang; Nathan C Sheffield
Journal:  NAR Genom Bioinform       Date:  2021-11-23

4.  Epigenetic Application of ATAC-Seq Based on Tn5 Transposase Purification Technology.

Authors:  Wangchun Li; U Tim Wu; Yu Cheng; Yanhao Huang; Lipeng Mao; Menghan Sun; Congling Qiu; Lin Zhou; Lijuan Gao
Journal:  Genet Res (Camb)       Date:  2022-08-11       Impact factor: 1.375

Review 5.  The impact of single-cell genomics on the field of mycobacterial infection.

Authors:  Inês Geraldes; Mónica Fernandes; Alexandra G Fraga; Nuno S Osório
Journal:  Front Microbiol       Date:  2022-09-30       Impact factor: 6.064

  5 in total

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