Accurate estimation of intrinsic biases for improved analysis of chromatin accessibility sequencing data using SELMA

Shengen Shawn Hu; Lin Liu; Qi Li; Wenjing Ma; Michael J. Guertin; Clifford A. Meyer; Ke Deng; Tingting Zhang; Chongzhi Zang

doi:10.1101/2021.10.22.465530

New Results

Accurate estimation of intrinsic biases for improved analysis of chromatin accessibility sequencing data using SELMA

Shengen Shawn Hu, Lin Liu, Qi Li, Wenjing Ma, Michael J. Guertin, Clifford A. Meyer, Ke Deng, Tingting Zhang, View ORCID ProfileChongzhi Zang

doi: https://doi.org/10.1101/2021.10.22.465530

Shengen Shawn Hu

1Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Lin Liu

2Institute of Natural Sciences, MOE-LSC, School of Mathematical Sciences, and SJTU-Yale Joint Center for Biostatistics and Data Science, Shanghai Jiao Tong University, Shanghai 200240, China

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Qi Li

3Center for Statistical Science, Tsinghua University, Beijing 100084, China

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Wenjing Ma

1Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA

4Department of Computer Science, Emory University, Atlanta, GA 30322, USA

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Michael J. Guertin

5Center for Cell Analysis and Modeling, Department of Genetics and Genome Sciences, University of Connecticut, Farmington, CT 06030, USA

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Clifford A. Meyer

6Department of Data Science, Dana-Farber Cancer Institute, Boston, MA 02215, USA

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Ke Deng

3Center for Statistical Science, Tsinghua University, Beijing 100084, China

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Tingting Zhang

7Department of Statistics, University of Pittsburgh, Pittsburgh, PA 15260, USA

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site

Chongzhi Zang

1Center for Public Health Genomics, University of Virginia, Charlottesville, VA 22908, USA

8Department of Public Health Sciences, University of Virginia, Charlottesville, VA 22908, USA

9UVA Cancer Center, University of Virginia, Charlottesville, VA 22908, USA

Find this author on Google Scholar
Find this author on PubMed
Search for this author on this site
ORCID record for Chongzhi Zang
For correspondence: zang@virginia.edu

Abstract
Full Text
Info/History
Metrics
Data/Code
Preview PDF

https://github.com/zang-lab/SELMA

View the discussion thread.

PreviousNext

Posted October 24, 2021.

Download PDF

Data/Code

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Your Email *

Your Name *

Send To *

Enter multiple addresses on separate lines or separate them with commas.

You are going to email the following Accurate estimation of intrinsic biases for improved analysis of chromatin accessibility sequencing data using SELMA

Message Subject (Your Name) has forwarded a page to you from bioRxiv

Message Body (Your Name) thought you would like to see this page from the bioRxiv website.

Your Personal Message

CAPTCHA

This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.

Accurate estimation of intrinsic biases for improved analysis of chromatin accessibility sequencing data using SELMA

Shengen Shawn Hu, Lin Liu, Qi Li, Wenjing Ma, Michael J. Guertin, Clifford A. Meyer, Ke Deng, Tingting Zhang, Chongzhi Zang

bioRxiv 2021.10.22.465530; doi: https://doi.org/10.1101/2021.10.22.465530

Share This Article:

Citation Tools

Accurate estimation of intrinsic biases for improved analysis of chromatin accessibility sequencing data using SELMA

Shengen Shawn Hu, Lin Liu, Qi Li, Wenjing Ma, Michael J. Guertin, Clifford A. Meyer, Ke Deng, Tingting Zhang, Chongzhi Zang

bioRxiv 2021.10.22.465530; doi: https://doi.org/10.1101/2021.10.22.465530

Citation Manager Formats

BibTeX
Bookends
EasyBib
EndNote (tagged)
EndNote 8 (xml)
Medlars
Mendeley
Papers
RefWorks Tagged
Ref Manager
RIS
Zotero

Tweet Widget
Facebook Like
Google Plus One

Subject Area

Bioinformatics

Subject Areas

All Articles

Animal Behavior and Cognition (3239)
Biochemistry (6677)
Bioengineering (4829)
Bioinformatics (18865)
Biophysics (9161)
Cancer Biology (7022)
Cell Biology (10255)
Clinical Trials (138)
Developmental Biology (5905)
Ecology (9240)
Epidemiology (2063)
Evolutionary Biology (12533)
Genetics (8905)
Genomics (11852)
Immunology (6897)
Microbiology (17453)
Molecular Biology (6821)
Neuroscience (37875)
Paleontology (273)
Pathology (1129)
Pharmacology and Toxicology (1946)
Physiology (2889)
Plant Biology (6299)
Scientific Communication and Education (1200)
Synthetic Biology (1764)
Systems Biology (4989)
Zoology (996)