The falling cost of nucleotide sequencing is opening up significant opportunities for crop improvement through plant breeding and increased understanding of plant biology.

Many plant genomes are large and have complex evolutinary histories, making their analysis theoretically challenging and highly demanding of computational resources. Issues include genome size, polyploidy, and the quantity, diversity and dispersed nature of data in need of integration.

transPLANT is a consortium of 11 European partners gathered to address these challenges and to develop a trans-national infrastructure for plant genomic science. Bringing together groups with strengths in data analysis, plant science, computer science, and from the academic and commercial sectors, transPLANT will develop integrated standards and services and undertake new research and development needed to capitalise on the sequencing revolution, across the spectrum of agricultural and model plant species.

transPLANT is committed to establishing the broadest international collaborations for data and standards. Explore the project's aims in more detail on this website, or contact us on transplant_help@ebi.ac.uk.

Resources

Find descriptions of the various plant-based databases, services, and software maintained by the transplant partners. more...

Meetings and Events

transPLANT workshop on resources for Triticeae genomics and phenotyping standards Thursday, June 27, 2013 to Friday, June 28, 2013. Adam Mickiewicz University campus, Dept. of Biology, Umultowska 89, 61-614 PoznaƄ

News

–» Article
added Thursday, June 6, 2013 - 13:08

Take the transPLANT survey!
  • We are collecting information about the needs of bioinformaticians in the field of agronomic research. Our goal is to chart the current resource landscape to both coordinate its development and to identify gaps that can be filled by transPLANT.

    The survey contains 41 questions. Thanks in advance for your involvement.

–» Publication
added Thursday, May 30, 2013 - 14:48

Extraction and prediction of biomedical database identifier using neural networks towards data network construction
H. Mehlhorn, et al., Cases on Open-Linked Data and Semantic Web Applications, 2013
–» Article
added Friday, May 3, 2013 - 10:06

Ensembl Plants, Release 18
–» Publication
added Thursday, January 31, 2013 - 14:50

A large-scale evaluation of computational protein function prediction
Radivojac P, et al., Nature Methods, 2013
PubMed | DOI
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