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Shuying He

dblp:256/8838 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › genomics › genomic data analysis
cell-free DNA analysis
0.512021
cfDNApipe: a comprehensive quality control and analysis pipeline for cell-free DNA high-throughput sequencing data · Bioinform. 2021
Bioinformatics and computational biology › epigenomics › DNA methylation
DNA methylation analysis
0.512021
cfDNApipe: a comprehensive quality control and analysis pipeline for cell-free DNA high-throughput sequencing data · Bioinform. 2021
Bioinformatics and computational biology
epigenetics
0.512021
cfDNApipe: a comprehensive quality control and analysis pipeline for cell-free DNA high-throughput sequencing data · Bioinform. 2021
Bioinformatics and computational biology › sequence analysis
sequencing data analysis
0.512021
cfDNApipe: a comprehensive quality control and analysis pipeline for cell-free DNA high-throughput sequencing data · Bioinform. 2021

Methods — techniques the papers use, named apart from their topics

differentially methylated region detection · 0.5copy number variation detection · 0.5
YearPublicationVenuePosition
2021 cfDNApipe: a comprehensive quality control and analysis pipeline for cell-free DNA high-throughput sequencing data
abstract
MOTIVATION: Cell-free DNA (cfDNA) is gaining substantial attention from both biological and clinical fields as a promising marker for liquid biopsy. Many aspects of disease-related features have been discovered from cfDNA high-throughput sequencing (HTS) data. However, there is still a lack of integrative and systematic tools for cfDNA HTS data analysis and quality control (QC). RESULTS: Here, we propose cfDNApipe, an easy-to-use and systematic python package for cfDNA whole-genome sequencing (WGS) and whole-genome bisulfite sequencing (WGBS) data analysis. It covers the entire analysis pipeline for the cfDNA data, including raw sequencing data processing, QC and sophisticated statistical analysis such as detecting copy number variations (CNVs), differentially methylated regions and DNA fragment size alterations. cfDNApipe provides one-command-line-execution pipelines and flexible application programming interfaces for customized analysis. AVAILABILITY AND IMPLEMENTATION: https://xwanglabthu.github.io/cfDNApipe/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Wei Zhang 0241, Lei Wei 0009, Bixi Zhong, Jiaqi Li 0025, Shuying He, Juhong Liu, Hairong Lv, Xiaowo Wang
Bioinform.7