about
Mass digitization of scientific collections: New opportunities to transform the use of biological specimens and underwrite biodiversity scienceIf we share data, will anyone use them? Data sharing and reuse in the long tail of science and technologyCompressive biological sequence analysis and archival in the era of high-throughput sequencing technologiesBitpacking techniques for indexing genomes: I. Hash tables.Ten Simple Rules for Digital Data StorageThe primary reasons behind data sharing, its wider benefits and how to cope with the realities of commercial dataDataSHIELD: taking the analysis to the data, not the data to the analysisThe changing epitome of species identification - DNA barcoding'Sifting the significance from the data' - the impact of high-throughput genomic technologies on human genetics and health careTOLKIN--Tree of Life Knowledge and Information Network: filling a gap for collaborative research in biological systematicsopenBIS: a flexible framework for managing and analyzing complex data in biology research.Entropy-scaling search of massive biological dataCompressive genomics for protein databases.NGC: lossless and lossy compression of aligned high-throughput sequencing data.Computational solutions for omics data.Data compression for sequencing dataHigh-throughput DNA sequence data compression.Journaled string tree-a scalable data structure for analyzing thousands of similar genomes on your laptop.Collaborative mining and interpretation of large-scale data for biomedical research insights.Disk-based compression of data from genome sequencing.Incorporation of personal single nucleotide polymorphism (SNP) data into a national level electronic health record for disease risk assessment, part 1: an overview of requirements.Advances in high throughput DNA sequence data compression.CloVR: a virtual machine for automated and portable sequence analysis from the desktop using cloud computingFish the ChIPs: a pipeline for automated genomic annotation of ChIP-Seq data.Pyicos: a versatile toolkit for the analysis of high-throughput sequencing dataManaging sensitive phenotypic data and biomaterial in large-scale collaborative psychiatric genetic research projects: practical considerations.Data mining identifies Digit Symbol Substitution Test score and serum cystatin C as dominant predictors of mortality in older men and womenNGS-Logistics: federated analysis of NGS sequence variants across multiple locations.Dynamics of domain coverage of the protein sequence universe.PSimScan: algorithm and utility for fast protein similarity searchPoPLAR: Portal for Petascale Lifescience Applications and Research.Ontology based molecular signatures for immune cell types via gene expression analysisDNA-COMPACT: DNA COMpression based on a pattern-aware contextual modeling techniqueMerging of multi-string BWTs with applicationsSRComp: short read sequence compression using burstsort and Elias omega codingMPI-blastn and NCBI-TaxCollector: improving metagenomic analysis with high performance classification and wide taxonomic attachment.On-Demand Indexing for Referential Compression of DNA Sequences.GDC 2: Compression of large collections of genomesSequence Factorization with Multiple References.A privacy-preserving solution for compressed storage and selective retrieval of genomic data
P2860
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P2860
description
2011 nî lūn-bûn
@nan
2011 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
On the future of genomic data.
@ast
On the future of genomic data.
@en
type
label
On the future of genomic data.
@ast
On the future of genomic data.
@en
prefLabel
On the future of genomic data.
@ast
On the future of genomic data.
@en
P2860
P356
P1433
P1476
On the future of genomic data.
@en
P2093
Scott D Kahn
P2860
P304
P356
10.1126/SCIENCE.1197891
P407
P577
2011-02-01T00:00:00Z