SCALCE: boosting sequence compression algorithms using locally consistent encoding.

ABSTRACT:

Motivation

The high throughput sequencing (HTS) platforms generate unprecedented amounts of data that introduce challenges for the computational infrastructure. Data management, storage and analysis have become major logistical obstacles for those adopting the new platforms. The requirement for large investment for this purpose almost signalled the end of the Sequence Read Archive hosted at the National Center for Biotechnology Information (NCBI), which holds most of the sequence data generated world wide. Currently, most HTS data are compressed through general purpose algorithms such as gzip. These algorithms are not designed for compressing data generated by the HTS platforms; for example, they do not take advantage of the specific nature of genomic sequence data, that is, limite

SUBMITTER: Hach F 

PROVIDER: S-EPMC3509486 | biostudies-literature | 2012 Dec

REPOSITORIES: biostudies-literature