Dataset for "The genome sequence of the wild tomato Solanum pimpinellifolium provides insights into salinity tolerance"
predicted protein sets excluding all isoforms but the longest. This is useful for comparative analyses such OrthoMCL
Predicted transcripts with UTRs removed
Predicted transcripts with UTRs
Gene model in GFF format. Evidence alignment not included
Genome assembly, Scaffolds, min length 200 bp, ABySS assembler
Morton, Mitchell J. L.
Lightfoot, D. J.
Mohamad Razali, Rozaimi
Arold, Stefan T.
Schmöckel, Sandra M.
Michell, Craig T
Tester, Mark A.
Bajic, Vladimir B.
KAUST DepartmentComputational Bioscience Research Center (CBRC)
Biological and Environmental Sciences and Engineering (BESE) Division
KAUST Environmental Epigenetic Program (KEEP)
Red Sea Research Center (RSRC)
Applied Mathematics and Computational Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
Permanent link to this recordhttp://hdl.handle.net/10754/628050
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DescriptionSolanum pimpinellifolium, a wild relative of cultivated tomato, offers a wealth of breeding potential for several desirable traits such as tolerance to abiotic and biotic stresses. Here, we report the genome and annotation of S. pimpinellifolium ‘LA0480’. The ‘LA0480’ genome size (811 Mb) and the number of annotated genes (25,970) are within the range observed for other sequenced tomato species.
CitationBougouffa, S., Morton, M. J. L., Lightfoot, D. J., Mohamad Razali, R., Alam, I., Essack, M., … Sónia, N. (2016). Dataset for ‘The genome sequence of the wild tomato Solanum pimpinellifolium provides insights into salinity tolerance’ [Data set]. KAUST Research Repository. https://doi.org/10.25781/KAUST-4KWTX
SponsorsThis publication is based upon work supported by the King Abdullah University of Science and Technology (KAUST) Office of Sponsored Research (OSR) under Award No. 2302, No. 1976-02 and KAUST Base Research Funds to VBB grant No. BAS/1/1606-01-01. Genome sequencing was performed at the biological core laboratories of KAUST. All the computational analyses were performed on Dragon and Snapdragon computer clusters of the Computational Bioscience Research Center (CBRC) at King Abdullah University of Science and Technology (KAUST).
CollectionsBiological and Environmental Sciences and Engineering (BESE) Division; Red Sea Research Center (RSRC); Applied Mathematics and Computational Science Program; Computational Bioscience Research Center (CBRC); Datasets; Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
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