MIDAW: a web tool for statistical analysis of microarray data

被引:44
作者
Romualdi, C [1 ]
Vitulo, N [1 ]
Favero, MD [1 ]
Lanfranchi, G [1 ]
机构
[1] Univ Padua, Dipartimento Biol, CRIBI Biotechnol Ctr, I-35121 Padua, Italy
关键词
D O I
10.1093/nar/gki497
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
MIDAW (microarray data analysis web tool) is a web interface integrating a series of statistical algorithms that can be used for processing and interpretation of microarray data. MIDAW consists of two main sections: data normalization and data analysis. In the normalization phase the simultaneous processing of several experiments with background correction, global and local mean and variance normalization are carried out. The data analysis section allows graphical display of expression data for descriptive purposes, estimation of missing values, reduction of data dimension, discriminant analysis and identification of marker genes. The statistical results are organized in dynamic web pages and tables, where the transcript/ gene probes contained in a specific microarray platform can be linked ( according to user choice) to external databases (GenBank, Entrez Gene, UniGene). Tutorial files help the user throughout the statistical analysis to ensure that the forms are filled out correctly. MIDAW has been developed using Perl and PHP and it uses R/Bioconductor languages and routines. MIDAW is GPL licensed and freely accessible at http://muscle.cribi. unipd.it/midaw/.Perl and PHP source codes are available from the authors upon request.
引用
收藏
页码:W644 / W649
页数:6
相关论文
共 10 条
[1]   SNOMAD (Standardization and NOrmalization of MicroArray Data): web-accessible gene expression data analysis [J].
Colantuoni, C ;
Henry, G ;
Zeger, S ;
Pevsner, J .
BIOINFORMATICS, 2002, 18 (11) :1540-1541
[2]  
Dudoit S, 2003, BIOTECHNIQUES, P45
[3]   Bioconductor: open software development for computational biology and bioinformatics [J].
Gentleman, RC ;
Carey, VJ ;
Bates, DM ;
Bolstad, B ;
Dettling, M ;
Dudoit, S ;
Ellis, B ;
Gautier, L ;
Ge, YC ;
Gentry, J ;
Hornik, K ;
Hothorn, T ;
Huber, W ;
Iacus, S ;
Irizarry, R ;
Leisch, F ;
Li, C ;
Maechler, M ;
Rossini, AJ ;
Sawitzki, G ;
Smith, C ;
Smyth, G ;
Tierney, L ;
Yang, JYH ;
Zhang, JH .
GENOME BIOLOGY, 2004, 5 (10)
[4]   GEPAS:: a web-based resource for microarray gene expression data analysis [J].
Herrero, J ;
Al-Shahrour, F ;
Díaz-Uriarte, R ;
Mateos, A ;
Vaquerizas, JM ;
Santoyo, J ;
Dopazo, J .
NUCLEIC ACIDS RESEARCH, 2003, 31 (13) :3461-3467
[5]   Identifying differentially expressed genes using false discovery rate controlling procedures [J].
Reiner, A ;
Yekutieli, D ;
Benjamini, Y .
BIOINFORMATICS, 2003, 19 (03) :368-375
[6]   Diagnosis of multiple cancer types by shrunken centroids of gene expression [J].
Tibshirani, R ;
Hastie, T ;
Narasimhan, B ;
Chu, G .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (10) :6567-6572
[7]   Missing value estimation methods for DNA microarrays [J].
Troyanskaya, O ;
Cantor, M ;
Sherlock, G ;
Brown, P ;
Hastie, T ;
Tibshirani, R ;
Botstein, D ;
Altman, RB .
BIOINFORMATICS, 2001, 17 (06) :520-525
[8]   Significance analysis of microarrays applied to the ionizing radiation response [J].
Tusher, VG ;
Tibshirani, R ;
Chu, G .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2001, 98 (09) :5116-5121
[9]   DNMAD:: web-based diagnosis and normalization for microarray data [J].
Vaquerizas, JM ;
Dopazo, J ;
Díaz-Uriarte, R .
BIOINFORMATICS, 2004, 20 (18) :3656-3658
[10]   Normalization for cDNA microarray data: a robust composite method addressing single and multiple slide systematic variation [J].
Yang, YH ;
Dudoit, S ;
Luu, P ;
Lin, DM ;
Peng, V ;
Ngai, J ;
Speed, TP .
NUCLEIC ACIDS RESEARCH, 2002, 30 (04) :e15