AUTHOR=Zhang Zhibin , Chai Mao , Yang Zhaoen , Yang Zuoren , Fan Liqiang 

TITLE=GRAND: An Integrated Genome, Transcriptome Resources, and Gene Network Database for Gossypium

JOURNAL=Frontiers in Plant Science

VOLUME=13

YEAR=2022

URL=https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2022.773107

DOI=10.3389/fpls.2022.773107

ISSN=1664-462X

ABSTRACT=<p>With the increasing amount of cotton omics data, breeding scientists are confronted with the question of how to use massive cotton data to mine effective breeding information. Here, we construct a <italic>Gossypium</italic> Resource And Network Database (GRAND), which integrates 18 cotton genome sequences, genome annotations, two cotton genome variations information, and also four transcriptomes for <italic>Gossypium</italic> species. GRAND allows to explore and mine this data with the help of a toolbox that comprises a flexible search system, BLAST and BLAT suite, orthologous gene ID, networks of co-expressed genes, primer design, Gbrowse and Jbrowse, and drawing instruments. GRAND provides important information regarding <italic>Gossypium</italic> resources and hopefully can accelerate the progress of cultivating cotton varieties.</p>