With the current award, CASA joins the NHGRI Large-Scale SequenCentersd Analysis Centers program, an NIH-supported consortium that provides large-scale sequence datasets and analysis to the biomedical community.
Large-scale sequence datasets now exist, allowing comparisons to be made for thousands of genes in all domains of life.
Large-scale sequence datasets generated primarily through Sanger Expressed Sequence Tag projects are available from a limited number of potato cultivars and access to next generation sequencing technologies permits rapid generation of sequence data for additional cultivars.
A number of new software applications have been developed for browsing, visualizing and interpreting large-scale sequencing datasets.
Large scale EST sequence datasets have previously been reported for Triphysaria versicolor [ 8] and Triphysaria pusilla [ 27], which are hemiparasitic plants belonging to the Orobanchaceae.
Another potential use of large scale transcript sequencing datasets is in high throughput, genome-wide SNP discovery.
Transcriptome profiling is facilitated by the availability of a reference genome but many studies have also been based on large-scale cDNA sequence datasets.
In this study, we investigate genetic variation in three strains of C. elegans: N2, CB4856, and CB4858 using large-scale DNA sequence datasets [ 9- 11].
Such demand will soon result in large-scale clinical sequence datasets requiring massive data analysis and interpretation at reimbursable cost points thereby producing a technological barrier and price-limiting step of clinical genome usage [ 3, 4].
Our analyses of the first large-scale genomic sequence datasets from copepod germline and soma show that the vast majority of the excised sequences are non-simple, non-tandem (within the length of a single read) repeats of known TE or likely TE origin.
This dataset also represents the first regeneration-based, large-scale sequence database for annelids as a whole and thus provides a valuable resource for regeneration research more broadly.
