DupChecker: a bioconductor package for checking high-throughput genomic data redundancy in meta-analysis

Journal article

Open access

Peer reviewed

Quanhu Sheng, Yu Shyr and Xi Chen

BMC bioinformatics, Vol.15(1), pp.323-323

2014-09-30

PMCID: PMC4261523

PMID: 25267467

Abstract

Software

url

https://doi.org/10.1186/1471-2105-15-323View

Published (Version of record) Open

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Citation topics: 1 Clinical & Life Sciences; 1.54 Molecular & Cell Biology - Genetics; 1.54.79 Gene Expression Data
Web Of Science research areas: Biochemical Research Methods; Biotechnology & Applied Microbiology; Mathematical & Computational Biology
ESI research areas: Computer Science

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Title: DupChecker: a bioconductor package for checking high-throughput genomic data redundancy in meta-analysis
Creators: Quanhu Sheng - Department of Cancer Biology, Vanderbilt University School of Medicine, Nashville, TN 37232 USA
Yu Shyr - Center for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN 37232 USA
Xi Chen - Center for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN 37232 USA
Publication Details: BMC bioinformatics, Vol.15(1), pp.323-323
Publisher: BioMed Central
Academic Unit: Miller School of Medicine; UMMG Department of Public Health Sciences Research
Language: English
Resource Type: Journal article
PMID: 25267467
PMCID: PMC4261523
Record Identifier: 991031600831002976