Overcoming bias and systematic errors in next generation sequencing data
about
BSmooth: from whole genome bisulfite sequencing reads to differentially methylated regionsMutanome Engineered RNA Immunotherapy: Towards Patient-Centered Tumor VaccinationComputational methods for detecting copy number variations in cancer genome using next generation sequencing: principles and challengesLibrary construction for next-generation sequencing: overviews and challenges.Advantages of Array-Based Technologies for Pre-Emptive Pharmacogenomics TestingNon-random DNA fragmentation in next-generation sequencing.Kraken: a set of tools for quality control and analysis of high-throughput sequence data.Prevention, diagnosis and treatment of high-throughput sequencing data pathologies.Comparative analysis of methods for identifying somatic copy number alterations from deep sequencing data.Identification and correction of systematic error in high-throughput sequence dataAn NGS Workflow Blueprint for DNA Sequencing Data and Its Application in Individualized Molecular Oncology.Clinical impact of small TP53 mutated subclones in chronic lymphocytic leukemia.Chromosome-wide mapping of DNA methylation patterns in normal and malignant prostate cells reveals pervasive methylation of gene-associated and conserved intergenic sequencesGlobal assessment of genomic variation in cattle by genome resequencing and high-throughput genotyping.SNPest: a probabilistic graphical model for estimating genotypes.Confidence-based somatic mutation evaluation and prioritizationMultiQC: summarize analysis results for multiple tools and samples in a single report.miRNA expression profile analysis in kidney of different porcine breedsChIP-seq and beyond: new and improved methodologies to detect and characterize protein-DNA interactions.Identifying Mendelian disease genes with the variant effect scoring toolNovel sequencing-based strategies for high-throughput discovery of genetic mutations underlying inherited antibody deficiency disordersMeeting report: discussions and preliminary findings on extracellular RNA measurement methods from laboratories in the NIH Extracellular RNA Communication Consortium.Impact of bioinformatic procedures in the development and translation of high-throughput molecular classifiers in oncology.Deciphering KRAS and NRAS mutated clone dynamics in MLL-AF4 paediatric leukaemia by ultra deep sequencing analysis.Comprehensive analysis to improve the validation rate for single nucleotide variants detected by next-generation sequencing.Molecular markers and mechanisms of stroke: RNA studies of blood in animals and humans.A survey of error-correction methods for next-generation sequencing.RNA-based blood genomics as an investigative tool and prospective biomarker for ischemic stroke.Identifying and mitigating batch effects in whole genome sequencing data.Evaluation of Quality Assessment Protocols for High Throughput Genome Resequencing Data.Local sequence and sequencing depth dependent accuracy of RNA-seq reads.Identification and correction of spatial bias are essential for obtaining quality data in high-throughput screening technologies.RNA-seq reveals regional differences in transcriptome response to heat stress in the marine snail Chlorostoma funebralis.A Multi-Parameter Analysis of Cellular Coordination of Major Transcriptome Regulation Mechanisms.Conducting metagenomic studies in microbiology and clinical research
P2860
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P2860
Overcoming bias and systematic errors in next generation sequencing data
description
2010 nî lūn-bûn
@nan
2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Overcoming bias and systematic errors in next generation sequencing data
@ast
Overcoming bias and systematic errors in next generation sequencing data
@en
type
label
Overcoming bias and systematic errors in next generation sequencing data
@ast
Overcoming bias and systematic errors in next generation sequencing data
@en
prefLabel
Overcoming bias and systematic errors in next generation sequencing data
@ast
Overcoming bias and systematic errors in next generation sequencing data
@en
P2860
P356
P1433
P1476
Overcoming bias and systematic errors in next generation sequencing data
@en
P2093
Margaret A Taub
Rafael A Irizarry
P2860
P2888
P356
10.1186/GM208
P577
2010-12-10T00:00:00Z
P5875
P6179
1043016602