Plant developmental genetics: Integrating data from different experiments in databases

Plant developmental genetics: Integrating data from different experiments in databases Plant developmental genetics as a scientific discipline integrates data from such different fields of biology as embryology, plant anatomy, molecular biology and genetics, and studies their interactions in the course of plant development. To date, traditional publication of scientific studies in articles is supplemented by presenting in databases the data generated by high-throughoutput methods in genomics, transcriptomics, proteomics, and phenomics. The information burst, caused both by genome-scale research projects and growth in the number of articles, requires the development of general standards of annotating data from different sources for their integration and comparison. In this review, we present classification and analysis of existing databases, in which the user can find various data on plant developmental genetics, and discuss problems of these data integration both within informational resources and among them. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Russian Journal of Genetics Springer Journals

Plant developmental genetics: Integrating data from different experiments in databases

Loading next page...
 
/lp/springer_journal/plant-developmental-genetics-integrating-data-from-different-yjgSyyG0S8
Publisher
SP MAIK Nauka/Interperiodica
Copyright
Copyright © 2009 by Pleiades Publishing, Ltd.
Subject
Biomedicine; Microbial Genetics and Genomics; Animal Genetics and Genomics; Human Genetics
ISSN
1022-7954
eISSN
1608-3369
D.O.I.
10.1134/S1022795409110052
Publisher site
See Article on Publisher Site

Abstract

Plant developmental genetics as a scientific discipline integrates data from such different fields of biology as embryology, plant anatomy, molecular biology and genetics, and studies their interactions in the course of plant development. To date, traditional publication of scientific studies in articles is supplemented by presenting in databases the data generated by high-throughoutput methods in genomics, transcriptomics, proteomics, and phenomics. The information burst, caused both by genome-scale research projects and growth in the number of articles, requires the development of general standards of annotating data from different sources for their integration and comparison. In this review, we present classification and analysis of existing databases, in which the user can find various data on plant developmental genetics, and discuss problems of these data integration both within informational resources and among them.

Journal

Russian Journal of GeneticsSpringer Journals

Published: Nov 12, 2009

References

You’re reading a free preview. Subscribe to read the entire article.


DeepDyve is your
personal research library

It’s your single place to instantly
discover and read the research
that matters to you.

Enjoy affordable access to
over 12 million articles from more than
10,000 peer-reviewed journals.

All for just $49/month

Explore the DeepDyve Library

Unlimited reading

Read as many articles as you need. Full articles with original layout, charts and figures. Read online, from anywhere.

Stay up to date

Keep up with your field with Personalized Recommendations and Follow Journals to get automatic updates.

Organize your research

It’s easy to organize your research with our built-in tools.

Your journals are on DeepDyve

Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.

All the latest content is available, no embargo periods.

See the journals in your area

DeepDyve Freelancer

DeepDyve Pro

Price
FREE
$49/month

$360/year
Save searches from Google Scholar, PubMed
Create lists to organize your research
Export lists, citations
Read DeepDyve articles
Abstract access only
Unlimited access to over
18 million full-text articles
Print
20 pages/month
PDF Discount
20% off