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1 JIBtools: a Strategy to Reduce the Bioinformatics Analysis Gap
BibTeX
@MISC{Hofestädt_1jibtools:,
author = {Ralf Hofestädt and Benjamin Kormeier and Matthias Lange and Falk Schreiber and Björn Sommer and Stephan Weise},
title = {1 JIBtools: a Strategy to Reduce the Bioinformatics Analysis Gap},
year = {}
}
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Abstract
The aim of the Journal of Integrative Bioinformatics (JIB) is to provide a free-of-charge open access and peer-reviewed platform for original research articles in all aspects of integrative bioinformatics. Over the last ten years, the editorial board accompanied the process and trends in integrative bioinformatics and perceives a strong tendency towards a glut of tools and databases. As a consequence, a strategic decision was made to reduce the increasing Bioinformatics Analysis Gap by adding an additional focus to JIB as a platform for tool-related publications. 1.1 Data as Blessing and Curse The progress in molecular biology, ranging from experimental data acquisition on individual genes and proteins, over post-genomics technologies, such as RNA-seq, to phenotyping, proteomics, systems biology and integrative bioinformatics aims to capture the big picture of entire biological systems [1]. As a consequence of this revolution, the amount of data in the life sciences has exploded. The wave of new technologies, for example in genomics, is enabling data to be generated at unprecedented scales [2]. As of February 2013, NCBI Genbank provides access to more than 162 million sequences and PubMed comprises over 22 million citations for biomedical literature from MEDLINE, life science journals, and online books. The number of
Keyphrases
bioinformatics analysis gap integrative bioinformatics strong tendency biomedical literature ncbi genbank original research article tool-related publication life science journal system biology strategic decision entire biological system life science new technology additional focus unprecedented scale molecular biology last ten year editorial board big picture post-genomics technology peer-reviewed platform free-of-charge open access integrative bioinformatics aim individual gene experimental data acquisition online book
