Expression Profiler:: next generation-an online platform for analysis of microarray data

被引:86
作者
Kapushesky, M [1 ]
Kemmeren, P
Culhane, AC
Durinck, S
Ihmels, J
Körner, C
Kull, M
Torrente, A
Sarkans, U
Vilo, J
Brazma, A
机构
[1] European Bioinformat Inst, Cambridge, England
[2] UMC, Div Biomed Genet, Genom Lab, Utrecht, Netherlands
[3] Univ Coll Dublin, Conway Inst, Dublin, Ireland
[4] KULeuven, ESAT, Louvain, Belgium
[5] Weizmann Inst Sci, IL-76100 Rehovot, Israel
[6] Univ Leipzig, Leipzig, Germany
[7] Egeen Int, Tartu, Estonia
[8] Univ Tartu, Dept Comp Sci, Tartu, Estonia
[9] Estonian Bioctr, Tartu, Estonia
基金
英国惠康基金;
关键词
D O I
10.1093/nar/gkh470
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
Expression Profiler (EP, http://www.ebi.ac.uk/expressionprofiler) is a web-based platform for microarray gene expression and other functional genomics-related data analysis. The new architecture, Expression Profiler: next generation (EP:NG), modularizes the original design and allows individual analysis-task-related components to be developed by different groups and yet still seamlessly to work together and share the same user interface look and feel. Data analysis components for gene expression data preprocessing, missing value imputation, filtering, clustering methods, visualization, significant gene finding, between group analysis and other statistical components are available from the EBI (European Bioinformatics Institute) web site. The web-based design of Expression Profiler supports data sharing and collaborative analysis in a secure environment. Developed tools are integrated with the microarray gene expression database ArrayExpress and form the exploratory analytical front-end to those data. EP:NG is an open-source project, encouraging broad distribution and further extensions from the scientific community.
引用
收藏
页码:W465 / W470
页数:6
相关论文
共 11 条
  • [1] Ashburner M, 2001, GENOME RES, V11, P1425
  • [2] ArrayExpress - a public repository for microarray gene expression data at the EBI
    Brazma, A
    Parkinson, H
    Sarkans, U
    Shojatalab, M
    Vilo, J
    Abeygunawardena, N
    Holloway, E
    Kapushesky, M
    Kemmeren, P
    Lara, GG
    Oezcimen, A
    Rocca-Serra, P
    Sansone, SA
    [J]. NUCLEIC ACIDS RESEARCH, 2003, 31 (01) : 68 - 71
  • [3] Between-group analysis of microarray data
    Culhane, AC
    Perrière, G
    Considine, EC
    Cotter, TG
    Higgins, DG
    [J]. BIOINFORMATICS, 2002, 18 (12) : 1600 - 1608
  • [4] Ihaka R., 1996, J COMPUTATIONAL GRAP, V5, P299, DOI [10.1080/10618600.1996.10474713, 10.2307/1390807, DOI 10.1080/10618600.1996.10474713]
  • [5] Revealing modular organization in the yeast transcriptional network
    Ihmels, J
    Friedlander, G
    Bergmann, S
    Sarig, O
    Ziv, Y
    Barkai, N
    [J]. NATURE GENETICS, 2002, 31 (04) : 370 - 377
  • [6] Computational analysis of microarray data
    Quackenbush, J
    [J]. NATURE REVIEWS GENETICS, 2001, 2 (06) : 418 - 427
  • [7] Spellman PT, 2002, GENOME BIOL, V3
  • [8] ADE-4: A multivariate analysis and graphical display software
    Thioulouse, J
    Chessel, D
    Doledec, S
    Olivier, JM
    [J]. STATISTICS AND COMPUTING, 1997, 7 (01) : 75 - 83
  • [9] Missing value estimation methods for DNA microarrays
    Troyanskaya, O
    Cantor, M
    Sherlock, G
    Brown, P
    Hastie, T
    Tibshirani, R
    Botstein, D
    Altman, RB
    [J]. BIOINFORMATICS, 2001, 17 (06) : 520 - 525
  • [10] Vilo J., 2003, ANAL GENE EXPRESSION