Literature DB >> 15686874

A database for tracking toxicogenomic samples and procedures.

Wenjun Bao1, Judith E Schmid, Amber K Goetz, Hongzu Ren, David J Dix.   

Abstract

Reproductive toxicogenomic studies generate large amounts of toxicological and genomic data. On the toxicology side, a substantial quantity of data accumulates from conventional endpoints such as histology, reproductive physiology and biochemistry. The largest source of genomics data is DNA microarrays, which generate enormous amounts of information in the course of profiling gene expression. Thus, data storage and management become essential and require a more sophisticated system than lab notebooks and electronic spreadsheets. We developed a database for tracking toxicogenomic samples and procedures (TSP 1.0) for our reproductive studies based on the MIAME-Tox guidelines and relational database theory. This database stores the various types of data from both toxicological and genomic assays in a hierarchical fashion. The user-friendly interface provides easy procedures for researchers to add, edit, save, delete, and navigate different records. Finally, TSP facilitates exporting microarray data into public databases.

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Year:  2005        PMID: 15686874     DOI: 10.1016/j.reprotox.2004.09.005

Source DB:  PubMed          Journal:  Reprod Toxicol        ISSN: 0890-6238            Impact factor:   3.143


  3 in total

1.  Importance of dosage standardization for interpreting transcriptomal signature profiles: evidence from studies of xenoestrogens.

Authors:  Toshi Shioda; Jessica Chesnes; Kathryn R Coser; Lihua Zou; Jingyung Hur; Kathleen L Dean; Carlos Sonnenschein; Ana M Soto; Kurt J Isselbacher
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-01       Impact factor: 11.205

2.  MIAME/Plant - adding value to plant microarrray experiments.

Authors:  Philip Zimmermann; Beatrice Schildknecht; David Craigon; Margarita Garcia-Hernandez; Wilhelm Gruissem; Sean May; Gaurab Mukherjee; Helen Parkinson; Seung Rhee; Ulrich Wagner; Lars Hennig
Journal:  Plant Methods       Date:  2006-01-09       Impact factor: 4.993

3.  Web-based analysis of the mouse transcriptome using Genevestigator.

Authors:  Oliver Laule; Matthias Hirsch-Hoffmann; Tomas Hruz; Wilhelm Gruissem; Philip Zimmermann
Journal:  BMC Bioinformatics       Date:  2006-06-21       Impact factor: 3.169

  3 in total

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