GEOME : A web-based landscape genomics geocomputation platform

Landscape ecologists and resource conservation managers increasingly need geo-referenced data but are not trained to efficiently use Geographical Information Systems together with appropriate geo-environmental information and spatial analysis approaches. In the present context of rapid global climate change, they show a renewed interest to study adaptation in species of interest (wildlife, livestock, plants) with the help of landscape genomics. This emerging research field is at the interface of genome sciences, environmental resources analysis, bioinformatics, geocomputation and spatial statistics. Their combination permits to assess the level of association between specific genomic regions of living organisms and environmental factors, to better understand the genetic basis of local adaptation. Landscape genomics is thus able to provide objective criteria to prioritize species which are the most worthwhile preserving. In livestock science for instance, husbandry based on adapted breeds is of key importance to emerging countries. Consequently, to facilitate the use of landscape genomics, the GEOME project proposes a WebGIS-based platform for the integrated analysis of environmental, ecological and molecular data through the implementation of an original set of combined geocomputation, databases, spatial analysis and population genetics tools. The platform will gather two existing software to identify genomic regions under selection (BayeScan and MatSAM) using a WebGIS solution named MapIntera. The latter is a multiple views exploratory visualization interface allowing users to interactively browse and query multiple dynamic layouts (e.g. graphs, maps). It is based on a SVG graphical interface coupled to Javascript interactivity and AJAX technology for the retrieval of information from a spatial database. The platform will be connected to a High Performance Computing infrastructure, able to handle and process very large genome and environmental data sets


Editeur(s):
Brovelli, M. A.
Dragicevic, S.
Li, B.
Veenendaal, B.
Publié dans:
Proceedings of the 1st ISPRS International Workshop on Pervasive Web Mapping, Geoprocessing and Services - WebMGS 2010, Volume XXXVIII-4/W13
Présenté à:
WebMGS 2010: 1st International Workshop on Pervasive Web Mapping, Geoprocessing and Services, Como, Italy, August 27-27, 2010
Année
2010
Publisher:
Como, Italy, International Society for Photogrammetry and Remote Sensing
ISSN:
1682-1777
Mots-clefs:
Laboratoires:




 Notice créée le 2012-03-11, modifiée le 2019-12-05

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