CycleCloud For Life Sciences

Research in the Cloud Made Easy

Next-generation sequencers, spectrometers, and other medical instruments give scientists access to larger amounts of data at cheaper costs. The cloud offers easy, inexpensive access to computing for sequence alignment, SNP detection, proteomics, and other scientific pipelines. For researchers that rely on computation to analyze these data sets, cloud computing can change the way science gets done by making it faster and more cost effective.

But successfully deploying applications to use the cloud efficiently involves a number of technical challenges. These include making applications scale, securing the clusters, and focusing on ease of use.

CycleCloud makes this easy by pre-engineering clusters/pipelines to work optimally and securely on the Cloud. Users can deploy a cluster with the pre-installed applications in a matter of minutes. Secure Shell (SSH) and RESTful web interfaces are utilized to access a head node for the cluster while jobs are submitted and managed using a scheduling system to prioritize workflows, manage job dependencies, minimize excess computation, and grow/shrink clusters to the calculations at hand.

Working Applications at Your Fingertips

CycleCloud for Life Sciences consists of three specialized application sets for scientists in particular life science fields: Bioinformatics, Proteomics, and Computational Chemistry. Domain scientists have access to a full range of pre-installed domain appropriate tools. Pipelines for standard applications like Gromacs, Bowtie, Velvet, OMSSA, Tandem, HMMER, and BLAST, are amongst the two dozen applications available for life science researchers.