AWS related Life Science publications

In addition to collecting a list of Life Science Apps on AWS, I am also trying to collect a list of important life science publications that reference AWS. This is a lot more work especially since more and more papers get published. Will try and concentrate on more cloud centric papers. For the sake of time and minimizing work, just life science for now.

• MC Schatz, Bioinformatics, 25:1363 (2009): CloudBurst: highly sensitive read mapping with MapReduce
• B Langmead et al, Genome Biology, 10:R134 (2009): Searching for SNPs with cloud computing
• BD Halligan et al, J. Proteome Res., 8:3148 (2009): Low Cost, Scalable Proteomics Data Analysis Using Amazon's Cloud Computing Services and Open Source Search Algorithms
• B Langmead et al, Genome Biology, 11:R83 (2010): Cloud-scale RNA-sequencing differential expression analysis with Myrna
• D Wall et al, BMC Bioinformatics, 11:259 (2010): Cloud computing for comparative genomics
• LD Stein, Genome Biology, 11:207 (2010): The case for cloud computing in genome informatics
• MC Schatz et al, Nature Biotechnology, 28:691: Cloud computing and the DNA data race
• JT Dudley et al, Genome Medicine, 2:51 (2010): Translational bioinformatics in the cloud: an affordable alternative
• GE Ropella and CA Hunt, BMC Syst Biol, 4:168 (2010): Cloud computing and validation of expandable in silico livers
• JT Dudley and AJ Butte, Nature Biotechnology, 28:1181 (2010): In silico research in the era of cloud computing
• EE Schadt et al, Nature Reviews Genetics, 11:647 (2010): Computational solutions to large-scale data management and analysis
• Di Tommaso, P et al, Bioinformatics, 26:1903 (2010): Cloud-Coffee: implementation of a parallel consistency-based multiple alignment algorithm in the T-Coffee package and its benchmarking on the Amazon Elastic-Cloud
• E Afgan et al, BMC Bioinformatics, 11:S4 (2010): Galaxy CloudMan: delivering cloud compute clusters
• MG Reese et al, Genome Biology, 11:8 (2010): A standard variation file format for human genome sequences
• T Nguyen et al, BMC Research Notes, 4:171 (2011): CloudAligner: A fast and full-featured MapReduce based tool for sequence mapping
• H Bolouri et al, Bioinformatics, Advance Access (2011): Menu-driven cloud computing & resource-sharing for R and Bioconductor
• V Fusaro et al, PLoS Comput Biol, 7:e1002147 (2011) Biomedical Cloud Computing With Amazon Web Services