MOTIVATION: In an effort to provide a response to the ever-expanding generation of genomic data, the International Organization for Standardization (ISO) is designing a new solution for the representation, compression and management of genomic sequencing data: the Moving Picture Experts Group (MPEG)-G standard. This paper discusses the first implementation of an MPEG-G compliant entropy codec: GABAC. GABAC combines proven coding technologies, such as context-adaptive binary arithmetic coding, binarization schemes and transformations, into a straightforward solution for the compression of sequencing data. RESULTS: We demonstrate that GABAC outperforms well-established (entropy) codecs in a significant set of cases and thus can serve as an extension for existing genomic compression solutions, such as CRAM. AVAILABILITY AND IMPLEMENTATION: The GABAC library is written in C++. We also provide a command line application which exercises all features provided by the library. GABAC can be downloaded from https://github.com/mitogen/gabac. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

The visualization and application steering environment (VASE) provides interactive visual computing and steering for scientific and engineering programs. VASE defines an abstraction for a steerable program structure and provides tools that create and manage collections of these steerable codes. It is designed to work with existing codes written in Fortran. Based on simple annotations in the source code, VASE tools construct a high-level model of each application and enable the user to work with this model rather than at the detailed source-code level. Collections of steerable codes execute in a distributed environment. This paper describes the design objectives for VASE, its architecture, and its implementation, and illustrates its use with an example application.