Literature DB >> 14585617

Fundamentals of cDNA microarray data analysis.

Yuk Fai Leung1, Duccio Cavalieri.   

Abstract

Microarray technology is a powerful approach for genomics research. The multi-step, data-intensive nature of this technology has created an unprecedented informatics and analytical challenge. It is important to understand the crucial steps that can affect the outcome of the analysis. In this review, we provide an overview of the contemporary trend on various main analysis steps in the microarray data analysis process, which includes experimental design, data standardization, image acquisition and analysis, normalization, statistical significance inference, exploratory data analysis, class prediction and pathway analysis, as well as various considerations relevant to their implementation.

Mesh:

Substances:

Year:  2003        PMID: 14585617     DOI: 10.1016/j.tig.2003.09.015

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  51 in total

1.  Transcriptional response to foraging experience in the honey bee mushroom bodies.

Authors:  Claudia C Lutz; Sandra L Rodriguez-Zas; Susan E Fahrbach; Gene E Robinson
Journal:  Dev Neurobiol       Date:  2012-02       Impact factor: 3.964

Review 2.  Genomics and proteomics: role in the management of multiple sclerosis.

Authors:  Ludwig Kappos; Lutz Achtnichts; Frank Dahlke; Jens Kuhle; Y Naegelin; Rupert Sandbrink; Raija L P Lindberg
Journal:  J Neurol       Date:  2005-09       Impact factor: 4.849

3.  How to improve quality assurance in fluorometry: fluorescence-inherent sources of error and suited fluorescence standards.

Authors:  U Resch-Genger; K Hoffmann; W Nietfeld; A Engel; J Neukammer; R Nitschke; B Ebert; R Macdonald
Journal:  J Fluoresc       Date:  2005-05       Impact factor: 2.217

Review 4.  Issues in the analysis of oligonucleotide tiling microarrays for transcript mapping.

Authors:  Thomas E Royce; Joel S Rozowsky; Paul Bertone; Manoj Samanta; Viktor Stolc; Sherman Weissman; Michael Snyder; Mark Gerstein
Journal:  Trends Genet       Date:  2005-08       Impact factor: 11.639

5.  Methylation-free site patterns along a 1-Mb locus on Chr19 in cancerous and normal cells are similar. A new fast approach for analyzing unmethylated CCGG sites distribution.

Authors:  Tatyana Azhikina; Ildar Gainetdinov; Yulia Skvortsova; Eugene Sverdlov
Journal:  Mol Genet Genomics       Date:  2006-02-25       Impact factor: 3.291

6.  Genes involved in obesity: Adipocytes, brain and microflora.

Authors:  L Macia; O Viltart; C Verwaerde; M Delacre; A Delanoye; C Grangette; I Wolowczuk
Journal:  Genes Nutr       Date:  2006-09       Impact factor: 5.523

7.  Characterization of the genome composition of Bartonella koehlerae by microarray comparative genomic hybridization profiling.

Authors:  Hillevi L Lindroos; Alex Mira; Dirk Repsilber; Olga Vinnere; Kristina Näslund; Michaela Dehio; Christoph Dehio; Siv G E Andersson
Journal:  J Bacteriol       Date:  2005-09       Impact factor: 3.490

8.  The impact of measurement errors in the identification of regulatory networks.

Authors:  André Fujita; Alexandre G Patriota; João R Sato; Satoru Miyano
Journal:  BMC Bioinformatics       Date:  2009-12-13       Impact factor: 3.169

9.  Gene expression and genotyping studies implicate the interleukin 7 receptor in the pathogenesis of primary progressive multiple sclerosis.

Authors:  D R Booth; A T Arthur; S M Teutsch; C Bye; J Rubio; P J Armati; J D Pollard; R N S Heard; G J Stewart
Journal:  J Mol Med (Berl)       Date:  2005-08-02       Impact factor: 4.599

10.  Role of the DksA-like protein in the pathogenesis and diverse metabolic activity of Campylobacter jejuni.

Authors:  Jiae Yun; Byeonghwa Jeon; Yi-Wen Barton; Paul Plummer; Qijing Zhang; Sangryeol Ryu
Journal:  J Bacteriol       Date:  2008-05-02       Impact factor: 3.490

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.