- 23 July 2010 - BigBed/BigWig Paper Published + 18 August 2010 - Cat Genome Browser Available
-Last summer, we announced the release of new data formats for very large data sets: BigBed - and BigWig. Read more about these data formats - here. As a follow up, we are pleased to announce that we have published a - paper on these new file formats. + We have released a Genome Browser for the latest assembly of Cat (Felis catus). + The GTB V17E assembly (December 2008, UCSC version felCat4) was produced by the NHGRI + Genome Technology Branch and NIH Intramural Sequencing Center, Maryland; Agencourt + Bioscience Corporation, Massachusetts; NCI Laboratory of Genomic Diversity, Maryland; + and Hill's Pet Nutrition, Inc, Kansas. The mitochondrial genome was sequenced by NCI + Laboratory of Genomic Diversity. For detailed sequencing and assembly information, see + the NCBI Felis catus + assembly page. +
+ ++ Downloads of the Cat data and annotations may be obtained from the + UCSC FTP site + or + Downloads + page. These data have been freely provided for use in the UCSC Genome Browser + with specific conditions for use. +
+ ++ Many thanks to NHGRI, Agencourt Bioscience Corporation, NCI and Hill's Pet Nutrition + for providing these data. The felCat4 annotation tracks were generated by UCSC and + its collaborators. We'd also like to acknowledge the UCSC Cat browser team: Chin Li, + Antonio Coelho, Mary Goldman and Donna Karolchik. See the + Credits + page for a detailed list of the organizations and individuals who contributed to + this release. +
+ ++ 23 July 2010 - BigBed/BigWig Paper Published: + We are pleased to announce that we have published a paper on the BigBed and BigWig + format. Read more.
Kent WJ, Zweig AS, Barber G, Hinrichs AS, Karolchik D. Bioinformatics. 2010 July 17. Published online in advance of print.-
From the abstract:
- BigWig and BigBed files are compressed binary indexed files containing data at several
- resolutions that allow the high-performance display of next-generation sequencing experiment
- results in the UCSC Genome Browser. The visualization is implemented using a multi-layered
- software approach that takes advantage of specific capabilities of web-based protocols and
- Linux and UNIX operating systems files, R trees, and various indexing and compression tricks.
- As a result, only the data needed to support the current browser view is transmitted rather
- than the entire file, enabling fast remote access to large distributed data sets.
The supplemental materials (available online) contain the technical details about the - implementation.
@@ -63,13 +83,6 @@ Read more.
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