Efficient storage of high throughput DNA sequencing data using reference-based compression
about
The future of DNA sequence archivingMetagenomics - a guide from sampling to data analysisCompression of FASTQ and SAM format sequencing dataThe challenges of big dataThe European Bioinformatics Institute's data resources 2014Facing growth in the European Nucleotide ArchiveNovel bioinformatic developments for exome sequencingRecommendations on e-infrastructures for next-generation sequencingCompressive biological sequence analysis and archival in the era of high-throughput sequencing technologiesFourth Generation of Next-Generation Sequencing Technologies: Promise and ConsequencesGenomics and privacy: implications of the new reality of closed data for the fieldSCALCE: boosting sequence compression algorithms using locally consistent encodingQualComp: a new lossy compressor for quality scores based on rate distortion theoryThe real cost of sequencing: scaling computation to keep pace with data generationThe European Bioinformatics Institute in 2016: Data growth and integrationThe International Nucleotide Sequence Database CollaborationTangled up in two: a burst of genome duplications at the end of the Cretaceous and the consequences for plant evolutionHuman neuroimaging as a "Big Data" scienceAdvances in genome studies in plants and animalsDeveloping and implementing an institute-wide data sharing policyNGC: lossless and lossy compression of aligned high-throughput sequencing data.Tools for mapping high-throughput sequencing data.Computational solutions for omics data.Data compression for sequencing dataCompression of structured high-throughput sequencing data.High-throughput DNA sequence data compression.Aligned genomic data compression via improved modeling.Disk-based compression of data from genome sequencing.Data-dependent bucketing improves reference-free compression of sequencing readsLight-weight reference-based compression of FASTQ data.Reference-free compression of high throughput sequencing data with a probabilistic de Bruijn graph.Biological data sciences in genome research.Advances in high throughput DNA sequence data compression.VariantBam: filtering and profiling of next-generational sequencing data using region-specific rulesA new algorithm for "the LCS problem" with application in compressing genome resequencing datacgpCaVEManWrapper: Simple Execution of CaVEMan in Order to Detect Somatic Single Nucleotide Variants in NGS Data.ascatNgs: Identifying Somatically Acquired Copy-Number Alterations from Whole-Genome Sequencing Data.Using reference-free compressed data structures to analyze sequencing reads from thousands of human genomesEvaluation of GRCh38 and de novo haploid genome assemblies demonstrates the enduring quality of the reference assemblyReCoil - an algorithm for compression of extremely large datasets of dna data
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P2860
Efficient storage of high throughput DNA sequencing data using reference-based compression
description
2011 nî lūn-bûn
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2011 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2011年の論文
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2011年論文
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2011年論文
@zh-hant
2011年論文
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2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
Efficient storage of high thro ...... ng reference-based compression
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Efficient storage of high thro ...... ng reference-based compression
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Efficient storage of high thro ...... ng reference-based compression
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type
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Efficient storage of high thro ...... ng reference-based compression
@ast
Efficient storage of high thro ...... ng reference-based compression
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Efficient storage of high thro ...... ng reference-based compression
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Efficient storage of high thro ...... ng reference-based compression
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Efficient storage of high thro ...... ng reference-based compression
@en
Efficient storage of high thro ...... ng reference-based compression
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Efficient storage of high thro ...... ng reference-based compression
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Markus Hsi-Yang Fritz
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10.1101/GR.114819.110
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2011-05-01T00:00:00Z