about
GROM-RD: resolving genomic biases to improve read depth detection of copy number variantsSequencing and assembly of the 22-gb loblolly pine genomeA Benchmark Study on Error Assessment and Quality Control of CCS Reads Derived from the PacBio RSMolecular classification based on apomorphic amino acids (Arthropoda, Hexapoda): Integrative taxonomy in the era of phylogenomicsUnderstanding the Basics of NGS: From Mechanism to Variant CallingGenetic variation and the de novo assembly of human genomesBest practices for evaluating single nucleotide variant calling methods for microbial genomicsRare-variant association analysis: study designs and statistical testsComputational methods for detecting copy number variations in cancer genome using next generation sequencing: principles and challengesA bumpy ride on the diagnostic bench of massive parallel sequencing, the case of the mitochondrial genomeMetagenomic survey for viruses in Western Arctic caribou, Alaska, through iterative assembly of taxonomic unitsMajor Improvements to the Heliconius melpomene Genome Assembly Used to Confirm 10 Chromosome Fusion Events in 6 Million Years of Butterfly Evolution.Integrating next-generation sequencing into clinical oncology: strategies, promises and pitfallsHigh-Throughput Sequencing-Based Immune Repertoire Study during Infectious DiseaseNext-generation sequencing: advances and applications in cancer diagnosisMolecular diagnosis of putative Stargardt disease by capture next generation sequencingA Rewritable, Random-Access DNA-Based Storage SystemIntrinsic challenges in ancient microbiome reconstruction using 16S rRNA gene amplificationHigh-throughput sequencing technologiesAn Epigenetics-Inspired DNA-Based Data Storage SystemDNA Fountain enables a robust and efficient storage architectureDetecting and correcting the binding-affinity bias in ChIP-seq data using inter-species information.Amino acid changes in disease-associated variants differ radically from variants observed in the 1000 genomes project dataset.Toward reliable biomarker signatures in the age of liquid biopsies - how to standardize the small RNA-Seq workflowIllumina MiSeq sequencing disfavours a sequence motif in the GFP reporter gene.Investigation into the annotation of protocol sequencing steps in the sequence read archive.Pan-Tetris: an interactive visualisation for Pan-genomes.Simulating a population genomics data set using FlowSim.Shotgun metagenomic data reveals significant abundance but low diversity of "Candidatus Scalindua" marine anammox bacteria in the Arabian Sea oxygen minimum zone.Evaluation of PacBio sequencing for full-length bacterial 16S rRNA gene classification.Validation of multiple single nucleotide variation calls by additional exome analysis with a semiconductor sequencer to supplement data of whole-genome sequencing of a human population.Gorilla MHC class I gene and sequence variation in a comparative contextEstimating genotype error rates from high-coverage next-generation sequence data.Reducing INDEL calling errors in whole genome and exome sequencing data.16S rRNA gene high-throughput sequencing data mining of microbial diversity and interactions.Sources of PCR-induced distortions in high-throughput sequencing data setsAMPLISAS: a web server for multilocus genotyping using next-generation amplicon sequencing data.Qualimap 2: advanced multi-sample quality control for high-throughput sequencing data.Replicate exome-sequencing in a multiple-generation family: improved interpretation of next-generation sequencing data.Choice of reference-guided sequence assembler and SNP caller for analysis of Listeria monocytogenes short-read sequence data greatly influences rates of error.
P2860
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P2860
description
2013 nî lūn-bûn
@nan
2013 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի մայիսին 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
Characterizing and measuring bias in sequence data.
@ast
Characterizing and measuring bias in sequence data.
@en
type
label
Characterizing and measuring bias in sequence data.
@ast
Characterizing and measuring bias in sequence data.
@en
prefLabel
Characterizing and measuring bias in sequence data.
@ast
Characterizing and measuring bias in sequence data.
@en
P2093
P2860
P50
P356
P1433
P1476
Characterizing and measuring bias in sequence data.
@en
P2093
Andrew Hollinger
David B Jaffe
Michael G Ross
Niall J Lennon
Ryan Hegarty
P2860
P2888
P356
10.1186/GB-2013-14-5-R51
P577
2013-05-29T00:00:00Z
P5875
P6179
1034665395