Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
about
Somatic mutations in disorders with disrupted brain connectivityPractical aspects of NGS-based pathways analysis for personalized cancer science and medicineSomatic mosaicism in the human genomeA common founding clone with TP53 and PTEN mutations gives rise to a concurrent germ cell tumor and acute megakaryoblastic leukemiaComputational characterisation of cancer molecular profiles derived using next generation sequencingPostzygotic single-nucleotide mosaicisms in whole-genome sequences of clinically unremarkable individualsGenetic heterogeneity of induced pluripotent stem cells: results from 24 clones derived from a single C57BL/6 mouseClonal Evolutionary Analysis during HER2 Blockade in HER2-Positive Inflammatory Breast Cancer: A Phase II Open-Label Clinical Trial of Afatinib +/- VinorelbinecDNA hybrid capture improves transcriptome analysis on low-input and archived samplesBAYSIC: a Bayesian method for combining sets of genome variants with improved specificity and sensitivity.Somatic Mutations in TSC1 and TSC2 Cause Focal Cortical Dysplasia.Genomic Analyses of Breast Cancer Progression Reveal Distinct Routes of Metastasis Emergence.Impact of mutational profiles on response of primary oestrogen receptor-positive breast cancers to oestrogen deprivationPatients with genetically heterogeneous synchronous colorectal cancer carry rare damaging germline mutations in immune-related genes.Evaluation of Nine Somatic Variant Callers for Detection of Somatic Mutations in Exome and Targeted Deep Sequencing Data.Phylogenetic analyses of melanoma reveal complex patterns of metastatic dissemination.Identification of somatic mutations in cancer through Bayesian-based analysis of sequenced genome pairsClinical analysis and interpretation of cancer genome dataDetecting somatic point mutations in cancer genome sequencing data: a comparison of mutation callersAn assessment of computational methods for estimating purity and clonality using genomic data derived from heterogeneous tumor tissue samplesComparison of somatic mutation calling methods in amplicon and whole exome sequence data.Validation of predicted mRNA splicing mutations using high-throughput transcriptome data.Review of current methods, applications, and data management for the bioinformatics analysis of whole exome sequencing.RVD2: an ultra-sensitive variant detection model for low-depth heterogeneous next-generation sequencing data.CRCDA--Comprehensive resources for cancer NGS data analysis.An NGS Workflow Blueprint for DNA Sequencing Data and Its Application in Individualized Molecular Oncology.In-depth comparison of somatic point mutation callers based on different tumor next-generation sequencing depth dataA reference data set of 5.4 million phased human variants validated by genetic inheritance from sequencing a three-generation 17-member pedigree.Comparative genomic analysis of primary and synchronous metastatic colorectal cancersVariational inference for rare variant detection in deep, heterogeneous next-generation sequencing dataddClone: joint statistical inference of clonal populations from single cell and bulk tumour sequencing data.Intersect-then-combine approach: improving the performance of somatic variant calling in whole exome sequencing data using multiple aligners and callers.Exome Sequencing of Oral Squamous Cell Carcinoma Reveals Molecular Subgroups and Novel Therapeutic OpportunitiesNext generation mapping reveals novel large genomic rearrangements in prostate cancerWhole-genome sequencing identifies homozygous BRCA2 deletion guiding treatment in dedifferentiated prostate cancer.Cerebrospinal fluid-derived circulating tumour DNA better represents the genomic alterations of brain tumours than plasma.Combining calls from multiple somatic mutation-callersCancer-associated noncoding mutations affect RNA G-quadruplex-mediated regulation of gene expressionMultilevel genomics of colorectal cancers with microsatellite instability-clinical impact of JAK1 mutations and consensus molecular subtype 1Tumor haplotype assembly algorithms for cancer genomics.
P2860
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P2860
Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
description
2012 nî lūn-bûn
@nan
2012 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
@ast
Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
@en
Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
@nl
type
label
Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
@ast
Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
@en
Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
@nl
prefLabel
Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
@ast
Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
@en
Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
@nl
P2093
P356
P1433
P1476
Strelka: accurate somatic small-variant calling from sequenced tumor-normal sample pairs.
@en
P2093
Christopher T Saunders
Jennifer Becq
Lisa J Murray
R Keira Cheetham
Sajani Swamy
Wendy S W Wong
P304
P356
10.1093/BIOINFORMATICS/BTS271
P407
P577
2012-05-10T00:00:00Z