FAIRsharing is here! From our first incarnation, BioSharing.org, which focussed on the life sciences, we are growing into FAIRsharing.org, to serve users across all disciplines and support Findable, Accessible, Interoperable and Reusable (FAIR) data.

ready Plant Natural Antisense Transcripts Database

Abbreviation:PlantNATsDB

General Information
Natural Antisense Transcripts (NATs), a kind of regulatory RNAs, occur prevalently in plant genomes and play significant roles in physiological and/or pathological processes. PlantNATsDB (Plant Natural Antisense Transcripts DataBase) is a platform for annotating and discovering NATs by integrating various data sources. PlantNATsDB also provides an integrative, interactive and information-rich web graphical interface to display multidimensional data, and facilitate plant research community and the discovery of functional NATs.



Record updated: Sept. 25, 2016, 7:57 p.m. by The FAIRsharing Team.


Support

General

Additional Information


Tools

    No tools defined


Access / Retrieve Data

Conditions of Use


Data Access




Connectivity
Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

Models and Formats

No syntax standards defined


Related Databases

No related databases defined


Implementing Policies

This record is not implemented by any policy.


Credit

Record Maintainer

  • This record is in need of a maintainer. If you login, you'll be able to claim this record.

Funds

Maintains

Grant Number(s)

  • 2009DFA32030 (The Ministry of Science and Technology of China)

  • 2010SC07 (Huazhong Agricultural University)

  • 30971743 (National Natural Science Foundation of China (NSFC), Beijing, China)

  • 31050110121 (National Natural Science Foundation of China (NSFC), Beijing, China)

  • 31071659 (National Natural Science Foundation of China (NSFC), Beijing, China)

  • NCET-07-0740 (Program for New Century Excellent Talents in University of China)


Publications

PlantNATsDB: a comprehensive database of plant natural antisense transcripts

Dijun Chen, Chunhui Yuan, Jian Zhang, Zhao Zhang, Lin Bai, Yijun Meng, Ling-Ling Chen, and Ming Chen
Nucleic Acids Res. 2011

View Paper (PubMed) View Paper (DOI)