RICD: A rice indica cDNA database resource for rice functional genomics
2008

Rice Indica cDNA Database for Functional Genomics

Sample size: 20000 publication Evidence: moderate

Author Information

Author(s): Lu Tingting, Huang Xuehui, Zhu Chuanrang, Huang Tao, Zhao Qiang, Xie Kabing, Xiong Lizhong, Zhang Qifa, Han Bin

Primary Institution: National Center for Gene Research & Institute of Plant Physiology and Ecology, Shanghai Institutes of Biological Sciences, Chinese Academy of Sciences

Hypothesis

The collection and analysis of indica cDNAs are essential for rice genetics and breeding.

Conclusion

The online rice indica cDNA database provides comprehensive information to researchers for functional analysis of indica subspecies and for comparative genomics.

Supporting Evidence

  • The database includes over 20,000 full-length cDNAs and over 40,000 ESTs.
  • It allows users to query cDNA clones by various methods including keyword and genome position.
  • The database integrates information from multiple rice genomic resources.

Takeaway

Scientists created a special online database to help researchers find and study important rice genes.

Methodology

The database was developed using MySQL and PHP, integrating cDNA sequences from various libraries.

Limitations

The database primarily focuses on indica varieties and may not include all rice genetic variations.

Digital Object Identifier (DOI)

10.1186/1471-2229-8-118

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