The 3000 Rice Genomes Project, a collaboration between the Chinese Academy of Agricultural Sciences, the International Rice Research Institute, and BGI, provides a massive
rice genomic sequence resource for worldwide use.
Not exact matches
This dataset contains millions of
genomic sequences from a diverse set of
rice varieties that, when combined with phenotyping observations, gene expression, and other information, provides an important step in establishing gene - trait associations, building predictive models, and applying these models to breeding.
The goal is to identify the genes necessary to install C4 photosynthesis in
rice through different approaches, including
genomic and transcriptional
sequence comparisons and mutant screening.
«In addition to funding
rice sequencing, the [Thai] government is about to launch an effort that will move on to functional
genomics,» says Apichart Vanavichit, a molecular biologist at Thailand's National Center for Genetic Engineering and Biotechnology in Nakorn Pathom, which is helping to
sequence chromosome 9.
This dataset contains millions of
genomic sequences from a diverse set of
rice varieties that, when combined with phenotyping observations, gene expression, and other information, provides an important step in establishing gene - trait associations, building predictive models, and applying these models to breeding.