sRNAtoolboxVM: Small RNA Analysis in a Virtual Machine View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2017

AUTHORS

Cristina Gómez-Martín , Ricardo Lebrón , Antonio Rueda , José L. Oliver , Michael Hackenberg

ABSTRACT

High-throughput sequencing (HTS) data for small RNAs (noncoding RNA molecules that are 20-250 nucleotides in length) can now be routinely generated by minimally equipped wet laboratories; however, the bottleneck in HTS-based research has shifted now to the analysis of such huge amount of data. One of the reasons is that many analysis types require a Linux environment but computers, system administrators, and bioinformaticians suppose additional costs that often cannot be afforded by small to mid-sized groups or laboratories. Web servers are an alternative that can be used if the data is not subjected to privacy issues (what very often is an important issue with medical data). However, in any case they are less flexible than stand-alone programs limiting the number of workflows and analysis types that can be carried out.We show in this protocol how virtual machines can be used to overcome those problems and limitations. sRNAtoolboxVM is a virtual machine that can be executed on all common operating systems through virtualization programs like VirtualBox or VMware, providing the user with a high number of preinstalled programs like sRNAbench for small RNA analysis without the need to maintain additional servers and/or operating systems. More... »

PAGES

149-174

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-1-4939-6866-4_12

DOI

http://dx.doi.org/10.1007/978-1-4939-6866-4_12

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1085057523

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/28439833


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