Review Article

Translational Biomedical Informatics in the Cloud: Present and Future

Table 2

Application of cloud computing in bioinformatics research.

SoftwareWebsiteDescriptionReference

ArrayExpressHTShttp://www.ebi.ac.uk/Tools/rwiki/RNA-Seq data processing and quality assessment[76]
Bioscopehttp://www.lifescopecloud.com/Reference-based read mapping[77]
Cloud-MAQhttp://sourceforge.net/projects/cloud-maq/Read mapping and assembly[78]
CloudAlignerhttp://sourceforge.net/projects/cloudaligner/Read mapping[79]
CloudBursthttp://cloudburst-bio.sourceforge.net/Reference-based read mapping[6]
CloudCoffeehttp://www.tcoffee.org/homepage.htmlMultiple sequence alignment[20]
Contrailhttp://contrail-bio.sourceforge.net/De novo read assembly[80]
Crossbowhttp://bowtie-bio.sourceforge.net/crossbow/Read mapping and SNP calling[4]
FXhttp://fx.gmi.ac.kr/RNA-Seq data analysis for gene expression levels and genomic variant calling[81]
GeneSifterhttp://www.geospiza.com/Products/AnalysisEdition.shtmlCustomer-oriented NGS data analysis services[82]
Myrnahttp://bowtie-bio.sf.net/myrna/Differential expression analysis for RNA-Seq data[83]
PeakRangerhttp://www.modencode.org/software/ranger/Peak caller for ChIP-Seq data[84]
Rounduphttp://rodeo.med.harvard.edu/tools/roundup/Optimized computation for comparative genomics[19]
SeqMapReducehttp://www.seqmapreduce.org/Read mapping[85]
YunBehttp://tinyurl.com/yunbedownload/Gene set analysis for biomarker identification[86]