Multi-factor data normalization enables the detection of copy number aberrations in amplicon sequencing data.
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Treatment Algorithms Based on Tumor Molecular Profiling: The Essence of Precision Medicine TrialsDetection of Genomic Structural Variants from Next-Generation Sequencing DataA statistical approach to detection of copy number variations in PCR-enriched targeted sequencing dataThe AURORA pilot study for molecular screening of patients with advanced breast cancer-a study of the breast international groupQuantitative analysis of differences in copy numbers using read depth obtained from PCR-enriched samples and controls.CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing.Somatic copy number alterations detected by ultra-deep targeted sequencing predict prognosis in oral cavity squamous cell carcinoma.Patterns of CTCF and ZFHX3 Mutation and Associated Outcomes in Endometrial Cancer.Reliability of algorithmic somatic copy number alteration detection from targeted capture data.The role of next-generation sequencing in understanding the genomic basis of diffuse large B cell lymphoma and advancing targeted therapies.Altered molecular profile in thyroid cancers from patients affected by the Three Mile Island nuclear accident.Oncogenic events rather than antigen selection pressure may be the main driving forces for relapse in diffuse large B-cell lymphomas.Non-invasive detection of somatic mutations using next-generation sequencing in primary central nervous system lymphoma.Radiosensitization Effect of Talazoparib, a Parp Inhibitor, on Glioblastoma Stem Cells Exposed to Low and High Linear Energy Transfer Radiation.Germline breast cancer susceptibility gene mutations and breast cancer outcomes.New generation sequencing of targeted genes in the classical and the variant form of hairy cell leukemia highlights mutations in epigenetic regulation genes.DeviCNV: detection and visualization of exon-level copy number variants in targeted next-generation sequencing dataDetecting Copy Number Variation via Next Generation TechnologyIntegrated genomic analyses in PDX model reveal a cyclin-dependent kinase inhibitor Palbociclib as a novel candidate drug for nasopharyngeal carcinomaand Deleterious Mutations and Deletion Predict Bevacizumab Resistance in Metastatic Colorectal Cancer PatientsTargeted next-generation sequencing identifies clinically relevant somatic mutations in a large cohort of inflammatory breast cancer
P2860
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P2860
Multi-factor data normalization enables the detection of copy number aberrations in amplicon sequencing data.
description
2014 nî lūn-bûn
@nan
2014 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
name
Multi-factor data normalizatio ...... s in amplicon sequencing data.
@ast
Multi-factor data normalizatio ...... s in amplicon sequencing data.
@en
type
label
Multi-factor data normalizatio ...... s in amplicon sequencing data.
@ast
Multi-factor data normalizatio ...... s in amplicon sequencing data.
@en
prefLabel
Multi-factor data normalizatio ...... s in amplicon sequencing data.
@ast
Multi-factor data normalizatio ...... s in amplicon sequencing data.
@en
P2093
P2860
P50
P356
P1433
P1476
Multi-factor data normalizatio ...... s in amplicon sequencing data.
@en
P2093
David Gentien
Jean-François Laes
Maud Kamal
Maxime Lienard
Sebastien Toffoli
Tatiana Popova
Thomas Rio Frio
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU436
P407
P50
P577
2014-07-12T00:00:00Z