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Related Concept Videos

RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
Since the...
Genomics02:02

Genomics

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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Related Experiment Video

Updated: Jun 3, 2026

Breeding by Design for Functional Rice with Genome Editing Technologies
09:43

Breeding by Design for Functional Rice with Genome Editing Technologies

Published on: January 3, 2025

Rice-Map: a new-generation rice genome browser.

Jun Wang1, Lei Kong, Shuqi Zhao

  • 1Center for Bioinformatics, National Laboratory of Protein Engineering and Plant Genetic Engineering, College of Life Sciences, Peking University, Beijing 100871, PR China.

BMC Genomics
|April 1, 2011
PubMed
Summary
This summary is machine-generated.

Rice-Map is a new online genome browser for rice research. It provides interactive tools to visualize and analyze extensive functional genomics data for both japonica and indica rice subspecies.

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Area of Science:

  • Genomics
  • Bioinformatics
  • Plant Science

Background:

  • Concurrent release of japonica and indica rice genome sequences enables whole-genome studies.
  • High-throughput analysis generates vast functional genomics data, necessitating integrated visualization tools.
  • Rice-Map was developed using next-generation web technologies to address this need.

Purpose of the Study:

  • To develop an interactive online genome browser for rice researchers.
  • To facilitate navigation, analysis, and annotation of rice genome data.
  • To integrate diverse functional genomics datasets for japonica and indica subspecies.

Main Methods:

  • Compiled and loaded over one hundred annotation tracks for both japonica and indica subspecies.
  • Implemented interactive features for smooth scrolling, dragging, and zooming across genomic scales.
  • Integrated with bioinformatic analysis platforms (WebLab, Galaxy) and a data warehouse (Rice Mart).
  • Enabled user-defined annotations for interactive commenting and research notes.

Main Results:

  • Rice-Map offers extensive pre-computed annotations including gene models, expression profiles, and homology data.
  • Users can interactively explore genomic features and add their own annotations.
  • On-the-fly analysis and bulk data retrieval are supported through integrated platforms.

Conclusions:

  • Rice-Map provides abundant, up-to-date annotations for japonica and indica rice.
  • It serves as a valuable resource for computational and bench biologists.
  • The platform is publicly accessible and all data is available for free download.