Literature DB >> 9915502

Gene expression informatics--it's all in your mine.

D E Bassett1, M B Eisen, M S Boguski.   

Abstract

Technologies for whole-genome RNA expression studies are becoming increasingly reliable and accessible. However, universal standards to make the data more suitable for comparative analysis and for inter-operability with other information resources have yet to emerge. Improved access to large electronic data sets, reliable and consistent annotation and effective tools for 'data mining' are critical. Analysis methods that exploit large data warehouses of gene expression experiments will be necessary to realize the full potential of this technology.

Mesh:

Substances:

Year:  1999        PMID: 9915502     DOI: 10.1038/4478

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  47 in total

1.  cDNA-AFLP reveals a striking overlap in race-specific resistance and wound response gene expression profiles.

Authors:  W E Durrant; O Rowland; P Piedras; K E Hammond-Kosack; J D Jones
Journal:  Plant Cell       Date:  2000-06       Impact factor: 11.277

2.  A new approach for filtering noise from high-density oligonucleotide microarray datasets.

Authors:  J C Mills; J I Gordon
Journal:  Nucleic Acids Res       Date:  2001-08-01       Impact factor: 16.971

3.  Gene Expression Omnibus: NCBI gene expression and hybridization array data repository.

Authors:  Ron Edgar; Michael Domrachev; Alex E Lash
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

4.  An assessment of Motorola CodeLink microarray performance for gene expression profiling applications.

Authors:  Ramesh Ramakrishnan; David Dorris; Anna Lublinsky; Allen Nguyen; Marc Domanus; Anna Prokhorova; Linn Gieser; Edward Touma; Randall Lockner; Murthy Tata; Xiaomei Zhu; Marcus Patterson; Richard Shippy; Timothy J Sendera; Abhijit Mazumder
Journal:  Nucleic Acids Res       Date:  2002-04-01       Impact factor: 16.971

Review 5.  Microarray data quality analysis: lessons from the AFGC project. Arabidopsis Functional Genomics Consortium.

Authors:  David Finkelstein; Rob Ewing; Jeremy Gollub; Fredrik Sterky; J Michael Cherry; Shauna Somerville
Journal:  Plant Mol Biol       Date:  2002-01       Impact factor: 4.076

6.  Opportunities at the intersection of bioinformatics and health informatics: a case study.

Authors:  P L Miller
Journal:  J Am Med Inform Assoc       Date:  2000 Sep-Oct       Impact factor: 4.497

7.  Expression profiling with oligonucleotide arrays: technologies and applications for neurobiology.

Authors:  Timothy J Sendera; David Dorris; Ramesh Ramakrishnan; Allen Nguyen; Dionisios Trakas; Abhijit Mazumder
Journal:  Neurochem Res       Date:  2002-10       Impact factor: 3.996

8.  Pharmacogenomics of the cystic fibrosis transmembrane conductance regulator (CFTR) and the cystic fibrosis drug CPX using genome microarray analysis.

Authors:  M Srivastava; O Eidelman; H B Pollard
Journal:  Mol Med       Date:  1999-11       Impact factor: 6.354

Review 9.  Gene expression profiling in osteoblast biology: bioinformatic tools.

Authors:  S E Harris; M A Harris
Journal:  Mol Biol Rep       Date:  2001       Impact factor: 2.316

10.  SCMD: Saccharomyces cerevisiae Morphological Database.

Authors:  Taro L Saito; Miwaka Ohtani; Hiroshi Sawai; Fumi Sano; Ayaka Saka; Daisuke Watanabe; Masashi Yukawa; Yoshikazu Ohya; Shinichi Morishita
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.