Advancing genomics through the Global Invertebrate Genomics Alliance (GIGA)
Type
ArticleKAUST Department
Biological and Environmental Sciences and Engineering (BESE) DivisionMarine Science Program
Red Sea Research Center (RSRC)
Date
2017-07-17Online Publication Date
2017-07-17Print Publication Date
2017Permanent link to this record
http://hdl.handle.net/10754/630390
Metadata
Show full item recordAbstract
The Global Invertebrate Genomics Alliance (GIGA), a collaborative network of diverse scientists, marked its second anniversary with a workshop in Munich, Germany in 2015, where international attendees focused on discussing current progress, milestones and bioinformatics resources. The community determined the recruitment and training of talented researchers as one of the most pressing future needs and identified opportunities for network funding. GIGA also promotes future research efforts to prioritise taxonomic diversity and create new synergies. Here, we announce the generation of a central and simple data repository portal with a wide coverage of available sequence data, via the compagen platform, in parallel with more focused and specialised organism databases to globally advance invertebrate genomics. This article serves the objectives of GIGA by disseminating current progress and future prospects in the science of invertebrate genomics with the aim of promotion and facilitation of interdisciplinary and international research.Citation
Voolstra CR, GIGA Community of Scientists (COS), Wörheide G, Lopez JV (2017) Advancing genomics through the Global Invertebrate Genomics Alliance (GIGA). Invertebrate Systematics 31: 1. Available: http://dx.doi.org/10.1071/IS16059.Sponsors
The GIGA Community of Scientists gives special thanks to the German Research Foundation (DFG, project Wo896/16-1 to G. Wörheide) for substantially supporting the GIGAII workshop in Munich (Germany) in March 2015.Publisher
CSIRO PublishingJournal
Invertebrate SystematicsAdditional Links
http://www.publish.csiro.au/is/Fulltext/IS16059ae974a485f413a2113503eed53cd6c53
10.1071/IS16059