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Genomics02:02

Genomics

41.8K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
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RNA-Seq Analysis of Differential Gene Expression in Electroporated Chick Embryonic Spinal Cord
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CTDB: An Integrated Chickpea Transcriptome Database for Functional and Applied Genomics.

Mohit Verma1, Vinay Kumar1, Ravi K Patel1

  • 1Functional and Applied Genomics Laboratory, National Institute of Plant Genome Research (NIPGR), New Delhi, India.

Plos One
|September 1, 2015
PubMed
Summary
This summary is machine-generated.

A new Chickpea Transcriptome Database (CTDB) offers integrated genomic data for chickpea (Cicer arietinum) research. This resource aids in genetic enhancement and understanding chickpea

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Area of Science:

  • Plant Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Chickpea (Cicer arietinum) is a vital protein source, but limited genetic diversity and genomic resources hinder its improvement.
  • Developing advanced breeding strategies and biotechnological interventions requires comprehensive genomic data.

Purpose of the Study:

  • To develop an integrated Chickpea Transcriptome Database (CTDB) for enhanced visualization and retrieval of chickpea transcriptome data.
  • To provide tools for similarity search, functional annotation, and comparative gene expression analysis.
  • To facilitate functional and applied genomic research for chickpea genetic improvement.

Main Methods:

  • Development of a comprehensive web interface for the Chickpea Transcriptome Database (CTDB v2.0).
  • Integration of high-quality transcriptome datasets from cultivated (desi, kabuli) and wild chickpea.
  • Implementation of tools for similarity search, functional annotation (PFAM, Gene Ontology), and comparative genomics.

Main Results:

  • CTDB v2.0 provides access to annotated transcriptome data, including transcription factor families and expression profiles.
  • Gene expression data covers major tissues, developmental stages, and facilitates comparative studies with legumes and Arabidopsis.
  • The database enables discovery of molecular markers (SSPs, SNPs) for distinguishing chickpea types.

Conclusions:

  • The CTDB serves as a valuable integrated resource for chickpea functional genomics research.
  • It accelerates the discovery of genetic markers and understanding of gene function in chickpea.
  • The database is freely accessible, promoting collaborative research for chickpea improvement.