about
Compression of FASTQ and SAM format sequencing dataNovel bioinformatic developments for exome sequencingCompressive biological sequence analysis and archival in the era of high-throughput sequencing technologiesSCALCE: boosting sequence compression algorithms using locally consistent encodingQualComp: a new lossy compressor for quality scores based on rate distortion theoryiDASH: integrating data for analysis, anonymization, and sharingNGC: lossless and lossy compression of aligned high-throughput sequencing data.Data compression for sequencing dataDisk-based compression of data from genome sequencing.Data-dependent bucketing improves reference-free compression of sequencing readsLight-weight reference-based compression of FASTQ data.Advances in high throughput DNA sequence data compression.Identification of four novel genes contributing to familial elevated plasma HDL cholesterol in humans.ReCoil - an algorithm for compression of extremely large datasets of dna dataGReEn: a tool for efficient compression of genome resequencing data.Improving transmission efficiency of large sequence alignment/map (SAM) files.Transformations for the compression of FASTQ quality scores of next-generation sequencing data.Fast lossless compression via cascading Bloom filters.Large-scale compression of genomic sequence databases with the Burrows-Wheeler transform.Abstractions for GenomicsAlignment-free genetic sequence comparisons: a review of recent approaches by word analysis.Reference-based compression of short-read sequences using path encodingPiecewise polynomial representations of genomic tracksDNA-COMPACT: DNA COMpression based on a pattern-aware contextual modeling techniqueSRComp: short read sequence compression using burstsort and Elias omega codingFQC: A novel approach for efficient compression, archival, and dissemination of fastq datasets.MetaCRAM: an integrated pipeline for metagenomic taxonomy identification and compression.Compression of next-generation sequencing reads aided by highly efficient de novo assembly.Boiler: lossy compression of RNA-seq alignments using coverage vectors.Using Genome Query Language to uncover genetic variation.HUGO: Hierarchical mUlti-reference Genome cOmpression for aligned reads.Streamlined Genome Sequence Compression using Distributed Source Coding.An Evaluation Framework for Lossy Compression of Genome Sequencing Quality Values.LFQC: a lossless compression algorithm for FASTQ files.QVZ: lossy compression of quality values.Quality score compression improves genotyping accuracy.Memory efficient assembly of human genome.Short read alignment with populations of genomes.GTZ: a fast compression and cloud transmission tool optimized for FASTQ files.
P2860
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P2860
description
2011 nî lūn-bûn
@nan
2011 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի մարտին 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
Compressing genomic sequence fragments using SlimGene
@ast
Compressing genomic sequence fragments using SlimGene
@en
Compressing genomic sequence fragments using SlimGene
@nl
type
label
Compressing genomic sequence fragments using SlimGene
@ast
Compressing genomic sequence fragments using SlimGene
@en
Compressing genomic sequence fragments using SlimGene
@nl
prefLabel
Compressing genomic sequence fragments using SlimGene
@ast
Compressing genomic sequence fragments using SlimGene
@en
Compressing genomic sequence fragments using SlimGene
@nl
P2093
P2860
P3181
P356
P1476
Compressing genomic sequence fragments using SlimGene
@en
P2093
Christos Kozanitis
George Varghese
Semyon Kruglyak
P2860
P304
P3181
P356
10.1089/CMB.2010.0253
P407
P577
2011-03-01T00:00:00Z