Bioinformatics Methods and Biological Interpretation for Next-Generation Sequencing Data
Abstract
Next-generation sequencing (NGS) technologies have revolutionarily reshaped the landscape of “-omics” research areas and their effects are becoming increasingly widespread. With its significantly lower costs and higher throughput, NGS has been applied to genome, transcriptome, and epigenome research. The plethora of information that emerges from large-scale next-generation sequencing experiments has triggered the development of bioinformatics tools and method for efficient analysis, interpretation, and visualization of NGS data. Such methods and tools will substantially promote the life-science community to better and efficiently help understand the underlying biological principles and mechanisms. This special issue mainly focuses on the original research articles as well as review articles that develop new bioinformatics approaches, present novel platforms and systems, and describe concise models well explaining the biological context and application in relation to genetics, metagenomics, and clinical study from NGS data.
This special issue contains nine papers. Two papers discuss the application of NGS data analysis in metagenomics and one paper presents R package for metagenomic systems biology analysis. One review paper discusses the software to detect alternative splicing isoforms from deep sequencing data. The other five papers are related to application of NGS data integration in genomics, genetics, and epigenetics.
In “mmnet: An R Package for Metagenomics Systems…
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