As sequencing technologies progress, the amount of data produced grows exponentially, shifting the bottleneck of discovery towards the data analysis phase. In particular, currently available mapping solutions for RNA-seq leave room for improvement in terms of sensitivity and performance, hindering ...
Read More »ViennaNGS – A toolbox for building efficient next- generation sequencing analysis pipelines
Recent achievements in next-generation sequencing (NGS) technologies lead to a high demand for reuseable software components to easily compile customized analysis workflows for big genomics data. Researchers at the University of Vienna present ViennaNGS, an integrated collection of Perl modules ...
Read More »CodingQuarry – hidden Markov model gene prediction in fungal genomes using RNA-seq transcripts
The impact of gene annotation quality on functional and comparative genomics makes gene prediction an important process, particularly in non-model species, including many fungi. Sets of homologous protein sequences are rarely complete with respect to the fungal species of interest ...
Read More »Computer-assisted annotation of small RNA transcriptomes
Small noncoding RNAs (sncRNAs) are widely expressed in the cell of almost all known species. Most sncRNAs appear to have regulatory roles, ranging from facilitating RNA production and modifications (e.g., snoRNAs) to control of mRNA stability and translational efficiency (e.g., ...
Read More »Omics Pipe – A Computational Framework for Reproducible Multi-Omics Data Analysis
Omics Pipe is a computational framework for reproducible multi-omics data analysis that supports several next generation sequencing best practice pipelines, such as RNA-seq, miRNA-seq, Exome-seq, whole genome-seq and ChIP-seq. The purpose of Omics Pipe is to provide researchers with an ...
Read More »NGSANE: A Lightweight Production Informatics Framework for High Throughput Data Analysis
The initial steps in the analysis of Next Generation Sequencing (NGS) data can be automated by way of software ‘pipelines’. However, individual components depreciate rapidly due to evolving technology and analysis methods, often rendering entire versions of production informatics pipelines ...
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