ArrayPipe: a flexible processing pipeline for microarray data

被引:66
|
作者
Hokamp, K
Roche, FM
Acab, M
Rousseau, ME
Kuo, B
Goode, D
Aeschliman, D
Bryan, J
Babiuk, LA
Hancock, REW
Brinkman, FSL [1 ]
机构
[1] Simon Fraser Univ, Dept Mol Biol & Biochem, Burnaby, BC V5A 1S6, Canada
[2] Inimex Pharmaceut Inc, Vancouver, BC, Canada
[3] Univ British Columbia, Dept Stat, Vancouver, BC V6T 1W5, Canada
[4] Univ British Columbia, Dept Microbiol & Immunol, Vancouver, BC V6T 1W5, Canada
[5] VIDO, Saskatoon, SK, Canada
关键词
D O I
10.1093/nar/gkh446
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
A number of microarray analysis software packages exist already; however, none combines the user-friendly features of a web-based interface with potential ability to analyse multiple arrays at once using flexible analysis steps. The ArrayPipe web server (freely available at www.pathogenomics.ca/arraypipe) allows the automated application of complex analyses to microarray data which can range from single slides to large data sets including replicates and dye-swaps. It handles output from most commonly used quantification software packages for dual-labelled arrays. Application features range from quality assessment of slides through various data visualizations to multi-step analyses including normalization, detection of differentially expressed genes, andcomparison and highlighting of gene lists. A highly customizable action set-up facilitates unrestricted arrangement of functions, which can be stored as action profiles. A unique combination of web-based and command-line functionality enables comfortable configuration of processes that can be repeatedly applied to large data sets in high throughput. The output consists of reports formatted as standard web pages and tab-delimited lists of calculated values that can be inserted into other analysis programs. Additional features, such as web-based spreadsheet functionality, auto-parallelization and password protection make this a powerful tool in microarray research for individuals and large groups alike.
引用
收藏
页码:W457 / W459
页数:3
相关论文
共 50 条
  • [1] A flexible pipeline for experimental design, processing, and analysis of microarray data
    Osborn, S
    Kennedy, S
    Chin, D
    PROCEEDINGS OF THE 2003 IEEE BIOINFORMATICS CONFERENCE, 2003, : 411 - 412
  • [2] lumi:: a pipeline for processing Illumina microarray
    Du, Pan
    Kibbe, Warren A.
    Lin, Simon M.
    BIOINFORMATICS, 2008, 24 (13) : 1547 - 1548
  • [3] A flexible cross-platform single-cell data processing pipeline
    Battenberg, Kai
    Kelly, S. Thomas
    Ras, Radu Abu
    Hetherington, Nicola A.
    Hayashi, Makoto
    Minoda, Aki
    NATURE COMMUNICATIONS, 2022, 13 (01)
  • [4] A flexible cross-platform single-cell data processing pipeline
    Kai Battenberg
    S. Thomas Kelly
    Radu Abu Ras
    Nicola A. Hetherington
    Makoto Hayashi
    Aki Minoda
    Nature Communications, 13
  • [5] Knowledge based, data driven and object-relational workflow management for microarray processing pipeline
    Li, Xin
    CITSA 2007/CCCT 2007: INTERNATIONAL CONFERENCE ON CYBERNETICS AND INFORMATION TECHNOLOGIES, SYSTEMS AND APPLICATIONS : INTERNATIONAL CONFERENCE ON COMPUTING, COMMUNICATIONS AND CONTROL TECHNOLOGIES, VOL III, POST-CONFERENCE ISSUE, PROCEEDINGS, 2007, : 204 - 209
  • [6] A software pipeline for multiple microarray data analysis
    Agapito, Giuseppe
    Cannataro, Mario
    2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2017, : 1941 - 1944
  • [7] Microarray data analysis and processing
    Wang, YY
    Zhang, YY
    PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2003, 30 (02) : 321 - 323
  • [8] Microarray data processing and analysis
    Dopazo, J
    METHODS OF MICROARRAY DATA ANALYSIS II, 2002, : 43 - 63
  • [9] HiC-Pro: an optimized and flexible pipeline for Hi-C data processing
    Servant, Nicolas
    Varoquaux, Nelle
    Lajoie, Bryan R.
    Viara, Eric
    Chen, Chong-Jian
    Vert, Jean-Philippe
    Heard, Edith
    Dekker, Job
    Barillot, Emmanuel
    GENOME BIOLOGY, 2015, 16
  • [10] The MAGIC data processing pipeline
    Firpo Curcoll, R.
    Delfino, M.
    Neissner, C.
    Reichardt, I.
    Rico, J.
    Tallada, P.
    Tonello, N.
    INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP 2010): EVENT PROCESSING, 2011, 331