about
Cistrome: an integrative platform for transcriptional regulation studiesCloud BioLinux: pre-configured and on-demand bioinformatics computing for the genomics communityTranslational biomedical informatics in the cloud: present and futureAchieving human and machine accessibility of cited data in scholarly publicationsEfficient storage of high throughput DNA sequencing data using reference-based compressionThe UCSC Genome Browser database: update 2011Efficient de novo assembly of large genomes using compressed data structuresNovel bioinformatic developments for exome sequencingRecommendations on e-infrastructures for next-generation sequencingThe sequence of sequencers: The history of sequencing DNABig Data: the challenge for small research groups in the era of cancer genomicsMassively parallel sequencing: the new frontier of hematologic genomicsGenetic data and electronic health records: a discussion of ethical, logistical and technological considerationsSingle nucleotide polymorphisms in Mycobacterium tuberculosis and the need for a curated database« Biology/medicine 2.0 »: an overviewIntegrative workflows for metagenomic analysisBioinformatics for precision medicine in oncology: principles and application to the SHIVA clinical trialApplying computation biology and "big data" to develop multiplex diagnostics for complex chronic diseases such as osteoarthritisDetection of chromosomal alterations in the circulation of cancer patients with whole-genome sequencingGenomics Virtual Laboratory: A Practical Bioinformatics Workbench for the CloudSecure Genomic Computation through Site-Wise EncryptionBio and health informatics meets cloud : BioVLab as an exampleChallenges of Big Data AnalysisBionimbus: a cloud for managing, analyzing and sharing large genomics datasetsExperiences Building Globus Genomics: A Next-Generation Sequencing Analysis Service using Galaxy, Globus, and Amazon Web ServicesConceptualizing a Genomics Software Institute (GSI)Opportunities and challenges for the life sciences communityMenu-driven cloud computing and resource sharing for R and BioconductorCurrent trends and new challenges of databases and web applications for systems driven biological researchIn silico research in the era of cloud computingCloud prediction of protein structure and function with PredictProtein for Debian.Pybedtools: a flexible Python library for manipulating genomic datasets and annotations.Bioinformatics clouds for big data manipulationComputational solutions for omics data.DDBJ read annotation pipeline: a cloud computing-based pipeline for high-throughput analysis of next-generation sequencing dataStreaming support for data intensive cloud-based sequence analysis.Rainbow: a tool for large-scale whole-genome sequencing data analysis using cloud computingSeqPig: simple and scalable scripting for large sequencing data sets in HadoopHigh-throughput DNA sequence data compression.MOPED enables discoveries through consistently processed proteomics data.
P2860
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P2860
description
2010 nî lūn-bûn
@nan
2010 թուականին հրատարակուած գիտական յօդուած
@hyw
2010 թվականին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
The case for cloud computing in genome informatics
@ast
The case for cloud computing in genome informatics
@en
The case for cloud computing in genome informatics
@nl
type
label
The case for cloud computing in genome informatics
@ast
The case for cloud computing in genome informatics
@en
The case for cloud computing in genome informatics
@nl
prefLabel
The case for cloud computing in genome informatics
@ast
The case for cloud computing in genome informatics
@en
The case for cloud computing in genome informatics
@nl
P2860
P3181
P356
P1433
P1476
The case for cloud computing in genome informatics
@en
P2860
P2888
P3181
P356
10.1186/GB-2010-11-5-207
P577
2010-01-01T00:00:00Z