MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data

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1471-2105-15-69.pdf (1.22 MB)

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https://bmcbioinformatics.biomedcentral.com/articles/10.1186/1471-2105-15-69

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https://doi.org/10.1186/1471-2105-15-69
 http://hdl.handle.net/11603/31608

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UMBC Information Systems Department
UMBC Center for Accelerated Real Time Analysis
UMBC Center for Real-time Distributed Sensing and Autonomy
UMBC Computer Science and Electrical Engineering Department
UMBC Data Science
UMBC Joint Center for Earth Systems Technology (JCET)

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Author/Creator ORCID

https://orcid.org/0000-0002-9933-1170

Date

2014-03-12

Type of Work

journal articles
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Citation of Original Publication

Gan, Z., Wang, J., Salomonis, N. et al. MAAMD: a workflow to standardize meta-analyses and comparison of affymetrix microarray data. BMC Bioinformatics 15, 69 (2014). https://doi.org/10.1186/1471-2105-15-69

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Attribution 2.0 Generic (CC BY 2.0 DEED)

Subjects

UMBC Big Data Analytics Lab

Abstract

Mandatory deposit of raw microarray data files for public access, prior to study publication, provides significant opportunities to conduct new bioinformatics analyses within and across multiple datasets. Analysis of raw microarray data files (e.g. Affymetrix CEL files) can be time consuming, complex, and requires fundamental computational and bioinformatics skills. The development of analytical workflows to automate these tasks simplifies the processing of, improves the efficiency of, and serves to standardize multiple and sequential analyses. Once installed, workflows facilitate the tedious steps required to run rapid intra- and inter-dataset comparisons.