Fog Computing for Bioinformatics Applications

[1]  David R. Riley,et al.  CloVR: A virtual machine for automated and portable sequence analysis from the desktop using cloud computing , 2011, BMC Bioinformatics.

[2]  Alfredo Benso,et al.  Combining homolog and motif similarity data with Gene Ontology relationships for protein function prediction , 2012, 2012 IEEE International Conference on Bioinformatics and Biomedicine.

[3]  A. Romanel.  Allele-Specific Expression Analysis in Cancer Using Next-Generation Sequencing Data. , 2018, Methods in molecular biology.

[4]  O. Barbosa,et al.  Metagenomic analysis exploring taxonomic and functional diversity of soil microbial communities in Chilean vineyards and surrounding native forests , 2017, PeerJ.

[5]  Rajkumar Buyya,et al.  Fog Computing: Helping the Internet of Things Realize Its Potential , 2016, Computer.

[6]  J. Hicks,et al.  Single-Cell Applications of Next-Generation Sequencing. , 2019, Cold Spring Harbor perspectives in medicine.

[7]  Mansaf Alam,et al.  Cloud Computing in Bioinformatics and Big Data Analytics: Current Status and Future Research , 2018 .

[8]  Jin Soo Lee,et al.  FX: an RNA-Seq analysis tool on the cloud , 2012, Bioinform..

[9]  Jean Pierre Nshimyimana,et al.  Next-generation sequencing (NGS) for assessment of microbial water quality: current progress, challenges, and future opportunities , 2015, Front. Microbiol..

[10]  Michael C. Schatz,et al.  CloudBurst: highly sensitive read mapping with MapReduce , 2009, Bioinform..

[11]  Anton Nekrutenko,et al.  Harnessing cloud computing with Galaxy Cloud , 2011, Nature Biotechnology.

[12]  Enis Afgan,et al.  CloudMan as a platform for tool, data, and analysis distribution , 2012, BMC Bioinformatics.

[13]  Alicia R. Martin,et al.  STORMSeq: An Open-Source, User-Friendly Pipeline for Processing Personal Genomics Data in the Cloud , 2014, PloS one.

[14]  Hugh E. Olsen,et al.  The Oxford Nanopore MinION: delivery of nanopore sequencing to the genomics community , 2016, Genome Biology.

[15]  Robert L. Grossman,et al.  Bionimbus: a cloud for managing, analyzing and sharing large genomics datasets , 2014, J. Am. Medical Informatics Assoc..

[16]  Robert Grossman,et al.  PeakRanger: A cloud-enabled peak caller for ChIP-seq data , 2011, BMC Bioinformatics.

[17]  Konstantinos Krampis,et al.  Cloud BioLinux: pre-configured and on-demand bioinformatics computing for the genomics community , 2012, BMC Bioinformatics.

[18]  Alfredo Benso,et al.  Using gnome wide data for protein function prediction by exploiting gene ontology relationships , 2012, Proceedings of 2012 IEEE International Conference on Automation, Quality and Testing, Robotics.

[19]  Sateesh Addepalli,et al.  Fog computing and its role in the internet of things , 2012, MCC '12.

[20]  M. Schatz,et al.  Searching for SNPs with cloud computing , 2009, Genome Biology.

[21]  Ivan Merelli,et al.  Low-power portable devices for metagenomics analysis: Fog computing makes bioinformatics ready for the Internet of Things , 2018, Future Gener. Comput. Syst..

[22]  Michael Klompas,et al.  Acinetobacter baumannii: An Emerging and Important Pathogen. , 2010, Journal of clinical outcomes management : JCOM.

[23]  Anton Y Peleg,et al.  Hospital-acquired infections due to gram-negative bacteria. , 2010, The New England journal of medicine.

[24]  E. Myers,et al.  Basic local alignment search tool. , 1990, Journal of molecular biology.

[25]  Mark Gerstein,et al.  VAT: a computational framework to functionally annotate variants in personal genomes within a cloud-computing environment , 2012, Bioinform..

[26]  Douglas J. Botkin,et al.  Nanopore DNA Sequencing and Genome Assembly on the International Space Station , 2016, bioRxiv.

[27]  Weisong Shi,et al.  CloudAligner: A fast and full-featured MapReduce based tool for sequence mapping , 2011, BMC Research Notes.

[28]  Vladimir Vujovic,et al.  Internet of Things Based E-health Systems: Ideas, Expectations and Concerns , 2017, Handbook of Large-Scale Distributed Computing in Smart Healthcare.

[29]  Arwyn Edwards,et al.  Extreme metagenomics using nanopore DNA sequencing : a field report from Svalbard , 78 ° N , 2016 .

[30]  B. Langmead,et al.  Cloud-scale RNA-sequencing differential expression analysis with Myrna , 2010, Genome Biology.

[32]  R. Daniel.  The metagenomics of soil , 2005, Nature Reviews Microbiology.

[33]  Angela M Yu,et al.  Nanopore sequencing in microgravity , 2015, npj Microgravity.

[34]  Weei‐Yuarn Huang,et al.  Genetic profiles of different subsets of Merkel cell carcinoma show links between combined and pure MCPyV-negative tumors. , 2018, Human pathology.

[35]  Jingfa Xiao,et al.  Bioinformatics clouds for big data manipulation , 2012, Biology Direct.

[36]  Francisco Azuaje,et al.  Gene set analysis in the cloud , 2012, Bioinform..

[37]  Doug Stryke,et al.  Rapid metagenomic identification of viral pathogens in clinical samples by real-time nanopore sequencing analysis , 2015, Genome Medicine.

[38]  Luis Rodero-Merino,et al.  A break in the clouds: towards a cloud definition , 2008, CCRV.

[39]  Stéphane Le Crom,et al.  Eoulsan: a cloud computing-based framework facilitating high throughput sequencing analyses , 2012, Bioinform..