about
Navigating the rapids: the development of regulated next-generation sequencing-based clinical trial assays and companion diagnosticsIPED: a highly efficient denoising tool for Illumina MiSeq Paired-end 16S rRNA gene amplicon sequencing dataInvestigation into the annotation of protocol sequencing steps in the sequence read archive.Underlying Data for Sequencing the Mitochondrial Genome with the Massively Parallel Sequencing Platform Ion Torrent™ PGM™Illumina error profiles: resolving fine-scale variation in metagenomic sequencing data.From next-generation resequencing reads to a high-quality variant data set.MICADo - Looking for Mutations in Targeted PacBio Cancer Data: An Alignment-Free MethodFrom reads to operational taxonomic units: an ensemble processing pipeline for MiSeq amplicon sequencing dataPatterns of sequencing coverage bias revealed by ultra-deep sequencing of vertebrate mitochondria.Global and disease-associated genetic variation in the human Fanconi anemia gene family.Cross-clade simultaneous HIV drug resistance genotyping for reverse transcriptase, protease, and integrase inhibitor mutations by Illumina MiSeq.TASSEL-GBS: a high capacity genotyping by sequencing analysis pipeline.Analysis of the genetic diversity of influenza A viruses using next-generation DNA sequencing.Bisulfite Conversion of DNA: Performance Comparison of Different Kits and Methylation Quantitation of Epigenetic Biomarkers that Have the Potential to Be Used in Non-Invasive Prenatal Testing.De Novo Assembly and Characterization of the Invasive Northern Pacific Seastar TranscriptomeCharacterization of sequence-specific errors in various next-generation sequencing systems.Improvement in detection of minor alleles in next generation sequencing by base quality recalibration.Reproducibility of Illumina platform deep sequencing errors allows accurate determination of DNA barcodes in cells.Amplicon-based semiconductor sequencing of human exomes: performance evaluation and optimization strategiesCombining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection.Twin Mitochondrial Sequence AnalysisComputational pan-genomics: status, promises and challenges.High-throughput sequencing of the T-cell receptor repertoire: pitfalls and opportunities.Human RECQ Helicase Pathogenic Variants, Population Variation and "Missing" Diseases.SNP discovery in nonmodel organisms: strand bias and base-substitution errors reduce conversion rates.DiNAMO: highly sensitive DNA motif discovery in high-throughput sequencing data.
P2860
Q26864332-D6A8A2A5-96EC-4B79-9684-3280D533753BQ27319083-8378E90A-4946-4725-9EBC-6692ED8E003FQ30412372-0929CDBD-A244-4C3E-AD4F-AC44BB38F699Q30940437-494E18B3-750F-4EF4-BB38-D9DF41855352Q31057133-0F3F5790-98F1-443C-8A71-18503257DFDCQ31137675-BCC6A5C3-A90F-4735-A3F9-A663C8D3BF29Q31150879-33755C11-1A46-492F-B797-4B4BBF9DD543Q33784861-D30A8089-0E28-4117-AE97-F50489CFB201Q33805165-8E3AA9EB-226A-45C6-B019-2E5BA1F710DEQ34575710-CF15E137-343A-4CA3-ADEC-1FE613110F2DQ34997577-627B35C7-312A-4303-BAEC-4CFAC6124E88Q35108984-789341CF-39B3-4939-BA65-7536DF81C6D1Q35574887-7440FD24-5A39-4850-86C8-4C2782975C47Q35738581-21FD7226-CFC8-4D9A-99EE-101B6AC3B370Q35830577-973396B8-5000-486E-8CB9-220D07532039Q35899157-7713F1B1-A4C5-443A-8708-CCFDD93917CAQ35937925-8F5F8DD4-8C64-408B-AA1F-20B94CDBDE6CQ35977893-0EFDF205-C7E9-43C3-AF1B-FCBC5106704DQ36809384-46C62ADA-1200-4B1E-B200-24A30FBE9489Q36867676-206F579D-8C89-4AEF-B429-16F63AC4E7FEQ37158331-DB073613-1358-4B65-A58F-B39C5AFC9C86Q38807819-49806B35-2C61-42BB-BD3A-772FEAC17F40Q39026323-1DF3164F-4920-4DF5-ADC1-A56370CC1CC2Q39177049-E4506381-9F3C-48ED-8358-B928DC4ADB14Q51036016-D0F772BC-2F62-4449-B27E-84AB60FC251DQ55339904-122AFE82-FEE5-4053-BBC8-44CDD3096117
P2860
description
2013 nî lūn-bûn
@nan
2013 թուականի Ապրիլին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի ապրիլին 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
Discovering motifs that induce sequencing errors.
@ast
Discovering motifs that induce sequencing errors.
@en
Discovering motifs that induce sequencing errors.
@nl
type
label
Discovering motifs that induce sequencing errors.
@ast
Discovering motifs that induce sequencing errors.
@en
Discovering motifs that induce sequencing errors.
@nl
prefLabel
Discovering motifs that induce sequencing errors.
@ast
Discovering motifs that induce sequencing errors.
@en
Discovering motifs that induce sequencing errors.
@nl
P2093
P2860
P50
P1433
P1476
Discovering motifs that induce sequencing errors.
@en
P2093
Alexander Schönhuth
Manuel Allhoff
Sven Rahmann
P2860
P2888
P356
10.1186/1471-2105-14-S5-S1
P478
14 Suppl 5
P577
2013-04-10T00:00:00Z
P5875
P6179
1013312853