Literature DB >> 20865556

Standardizing the next generation of bioinformatics software development with BioHDF (HDF5).

Christopher E Mason1, Paul Zumbo, Stephan Sanders, Mike Folk, Dana Robinson, Ruth Aydt, Martin Gollery, Mark Welsh, N Eric Olson, Todd M Smith.   

Abstract

Next Generation Sequencing technologies are limited by the lack of standard bioinformatics infrastructures that can reduce data storage, increase data processing performance, and integrate diverse information. HDF technologies address these requirements and have a long history of use in data-intensive science communities. They include general data file formats, libraries, and tools for working with the data. Compared to emerging standards, such as the SAM/BAM formats, HDF5-based systems demonstrate significantly better scalability, can support multiple indexes, store multiple data types, and are self-describing. For these reasons, HDF5 and its BioHDF extension are well suited for implementing data models to support the next generation of bioinformatics applications.

Mesh:

Year:  2010        PMID: 20865556     DOI: 10.1007/978-1-4419-5913-3_77

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  6 in total

1.  Using Genome Query Language to uncover genetic variation.

Authors:  Christos Kozanitis; Andrew Heiberg; George Varghese; Vineet Bafna
Journal:  Bioinformatics       Date:  2013-06-10       Impact factor: 6.937

2.  The Genomedata format for storing large-scale functional genomics data.

Authors:  Michael M Hoffman; Orion J Buske; William Stafford Noble
Journal:  Bioinformatics       Date:  2010-04-29       Impact factor: 6.937

3.  EIGER detector: application in macromolecular crystallography.

Authors:  Arnau Casanas; Rangana Warshamanage; Aaron D Finke; Ezequiel Panepucci; Vincent Olieric; Anne Nöll; Robert Tampé; Stefan Brandstetter; Andreas Förster; Marcus Mueller; Clemens Schulze-Briese; Oliver Bunk; Meitian Wang
Journal:  Acta Crystallogr D Struct Biol       Date:  2016-08-31       Impact factor: 7.652

4.  OpenCyto: an open source infrastructure for scalable, robust, reproducible, and automated, end-to-end flow cytometry data analysis.

Authors:  Greg Finak; Jacob Frelinger; Wenxin Jiang; Evan W Newell; John Ramey; Mark M Davis; Spyros A Kalams; Stephen C De Rosa; Raphael Gottardo
Journal:  PLoS Comput Biol       Date:  2014-08-28       Impact factor: 4.475

Review 5.  Visual programming for next-generation sequencing data analytics.

Authors:  Franco Milicchio; Rebecca Rose; Jiang Bian; Jae Min; Mattia Prosperi
Journal:  BioData Min       Date:  2016-04-27       Impact factor: 2.522

6.  Benchmarking database systems for Genomic Selection implementation.

Authors:  Yaw Nti-Addae; Dave Matthews; Victor Jun Ulat; Raza Syed; Guilhem Sempéré; Adrien Pétel; Jon Renner; Pierre Larmande; Valentin Guignon; Elizabeth Jones; Kelly Robbins
Journal:  Database (Oxford)       Date:  2019-01-01       Impact factor: 3.451

  6 in total

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