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With the birth of personal genomics, sequencing data stems fundamentally from individuals, and this type of data cannot be distributed as easily because significant privacy concerns arise with sharing all the sequence variations of a particular individual (Greenbaum et al., 2008; Lowrance and Collins, 2007).
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Previous work on sugar transporter genes SWEET (MtN3_slv), along with the rapidly expanding availability of genomics sequence data has enabled us to examine the SWEET content of multiple plant genomes.
A.A., P.G.M. and S.B. analyzed Complete Genomics whole-genome sequencing data, and A.A. identified the PDE3A mutation.
In short, we propose herein a discussion on the application of such an integrative approach using functional genomics and post-genome sequencing data from non-model organisms.
These kinds of 'omics' data, which include the genome sequencing data (genomics), microarray-based genome-wide expression profiles (transcriptomics), protein abundances data (proteomics), etc., provide unprecedented views of cellular components in the biological systems [ 1].
These resources will provide a robust platform for future high-resolution mapping, map-based cloning, comparative genomics and assembly of whole-genome sequencing data for the species.
These tools are essential for the construction of a physical map, a valuable resource for map-based cloning, comparative genomics and assembly of whole genome sequencing data.
To better access, search, visualize, and understand the genome sequences, annotation, structure, and evolution of the B. oleracea genome, we developed a comprehensive web-based database, Bolbase (http://ocri-genomics.org/bolbase), which include genome sequence data and comparative genomics information.
With the availability of more whole genome sequence data and new genomics tools developed in model plants, the study of GA biosynthetic pathways, GAox genes and their evolution is now feasible.
Another aspect of this problem was highlighted recently when the publisher of the Science journal accepted Celera Genomics terms for the release of their human genome sequence data.
The volume of genomic sequence data are increasing daily, providing an excellent platform for genomics study.
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