about
Sharing big biomedical dataA collaborative approach to develop a multi-omics data analytics platform for translational researchSingle-cell Transcriptome Study as Big DataBig data and clinicians: a review on the state of the scienceGenotyping by sequencing approaches to characterise crop genomes: choosing the right tool for the right applicationChallenges of Identifying Clinically Actionable Genetic Variants for Precision MedicineToward a Literature-Driven Definition of Big Data in HealthcareConnectomics and new approaches for analyzing human brain functional connectivityBig data in medicine is driving big changesBig data - smart health strategies. Findings from the yearbook 2014 special themeThe future of crystallography in drug discovery.Data integration in the era of omics: current and future challengesThe synthetic biology futureBig Data Analytics for Genomic MedicineEquipping Physiologists with an Informatics Tool Chest: Toward an Integerated Mitochondrial Phenome.Big data and biomedical informatics: a challenging opportunity.Genomic sequencing: assessing the health care system, policy, and big-data implications.GenoMetric Query Language: a novel approach to large-scale genomic data management.A Semantic Big Data Platform for Integrating Heterogeneous Wearable Data in Healthcare.-Omic and Electronic Health Record Big Data Analytics for Precision Medicine.Cloud-based bioinformatics workflow platform for large-scale next-generation sequencing analyses.Information technology for clinical, translational and comparative effectiveness research. Findings from the section clinical research informaticsGenetics of allergic diseases.GeneDig: a web application for accessing genomic and bioinformatics knowledgeCompression of Large genomic datasets using COMRAD on Parallel Computing Platform.Under the microscope: From pathogens to probiotics and back.MarDRe: efficient MapReduce-based removal of duplicate DNA reads in the cloud.Methods to analyze big data in pharmacogenomics research.Launching genomics into the cloud: deployment of Mercury, a next generation sequence analysis pipelineBuilding the foundation for genomics in precision medicine.Implementation of a Big Data Accessing and Processing Platform for Medical Records in Cloud.Investigating spousal concordance of diabetes through statistical analysis and data mining.SparkBLAST: scalable BLAST processing using in-memory operationsBiospark: scalable analysis of large numerical datasets from biological simulations and experiments using Hadoop and Spark.cl-dash: rapid configuration and deployment of Hadoop clusters for bioinformatics research in the cloud.Towards precision medicine: discovering novel gynecological cancer biomarkers and pathways using linked data.The genetic code. Rewritten, revised, repurposed.The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges.A Systematic Review of Techniques and Sources of Big Data in the Healthcare Sector.Big data and data science in health care: What nurses and midwives need to know.
P2860
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P2860
description
2013 nî lūn-bûn
@nan
2013 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2013年の論文
@ja
2013年論文
@yue
2013年論文
@zh-hant
2013年論文
@zh-hk
2013年論文
@zh-mo
2013年論文
@zh-tw
2013年论文
@wuu
name
'Big data', Hadoop and cloud computing in genomics.
@ast
'Big data', Hadoop and cloud computing in genomics.
@en
type
label
'Big data', Hadoop and cloud computing in genomics.
@ast
'Big data', Hadoop and cloud computing in genomics.
@en
prefLabel
'Big data', Hadoop and cloud computing in genomics.
@ast
'Big data', Hadoop and cloud computing in genomics.
@en
P1476
'Big data', Hadoop and cloud computing in genomics.
@en
P2093
Aisling O'Driscoll
Jurate Daugelaite
P304
P356
10.1016/J.JBI.2013.07.001
P577
2013-07-18T00:00:00Z