SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors. - Wikidata - awgldk - TriplyDB

SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

http://www.wikidata.org/entity/Q39426445

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Inferring clonal composition from multiple sections of a breast cancer Exome sequencing and disease-network analysis of a single family implicate a mutation in KIF1A in hereditary spastic paraparesis ARID1A mutations in endometriosis-associated ovarian carcinomas Frequent mutation of histone-modifying genes in non-Hodgkin lymphoma Next-Generation Sequencing Approaches in Cancer: Where Have They Brought Us and Where Will They Take Us?Best practices for evaluating single nucleotide variant calling methods for microbial genomics Bioinformatics for cancer immunology and immunotherapy Analysis of next-generation genomic data in cancer: accomplishments and challenges An integrated inspection of the somatic mutations in a lung squamous cell carcinoma using next-generation sequencing The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing data TREAT: a bioinformatics tool for variant annotations and visualizations in targeted and exome sequencing data Identification of somatic mutations in cancer through Bayesian-based analysis of sequenced genome pairs A fast and accurate SNP detection algorithm for next-generation sequencing data.Estimating exome genotyping accuracy by comparing to data from large scale sequencing projects.Impact of library preparation on downstream analysis and interpretation of RNA-Seq data: comparison between Illumina PolyA and NuGEN Ovation protocol.Comparing a few SNP calling algorithms using low-coverage sequencing data.Reliable identification of genomic variants from RNA-seq data Detecting somatic point mutations in cancer genome sequencing data: a comparison of mutation callers Coval: improving alignment quality and variant calling accuracy for next-generation sequencing data.PAPNC, a novel method to calculate nucleotide diversity from large scale next generation sequencing data.CLImAT: accurate detection of copy number alteration and loss of heterozygosity in impure and aneuploid tumor samples using whole-genome sequencing data.A simplicial complex-based approach to unmixing tumor progression data.CRCDA--Comprehensive resources for cancer NGS data analysis.Targeted assembly of short sequence reads.Medoidshift clustering applied to genomic bulk tumor data.Estimation of genetic diversity in viral populations from next generation sequencing data with extremely deep coverage An empirical Bayes method for genotyping and SNP detection using multi-sample next-generation sequencing data.MOSAIK: a hash-based algorithm for accurate next-generation sequencing short-read mapping.sCNAphase: using haplotype resolved read depth to genotype somatic copy number alterations from low cellularity aneuploid tumors.A tool for mapping Single Nucleotide Polymorphisms using Graphics Processing Units.Virmid: accurate detection of somatic mutations with sample impurity inference Statistical Analyses of Next Generation Sequence Data: A Partial Overview.Conserved recurrent gene mutations correlate with pathway deregulation and clinical outcomes of lung adenocarcinoma in never-smokers.SeqGene: a comprehensive software solution for mining exome- and transcriptome- sequencing data.Integrated RNA and DNA sequencing improves mutation detection in low purity tumors.Targeted genomic capture and massively parallel sequencing to identify genes for hereditary hearing loss in Middle Eastern families Segtor: rapid annotation of genomic coordinates and single nucleotide variations using segment trees.Feature-based classifiers for somatic mutation detection in tumour-normal paired sequencing data.The allele distribution in next-generation sequencing data sets is accurately described as the result of a stochastic branching process.SomaticSniper: identification of somatic point mutations in whole genome sequencing data

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SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

http://www.wikidata.org/entity/Q39426445

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2010年學術文章

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2010年學術文章

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name

SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

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SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

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type

label

SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

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SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

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prefLabel

SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

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SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

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SNVMix: predicting single nucleotide variants from next-generation sequencing of tumors.

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Anamaria Crisan

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David Huntsman

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Gillian Leung

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Janine Senz

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Kevin P Murphy

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Rodrigo Goya

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P2860

Ultrafast and memory-efficient alignment of short DNA sequences to the human genome

SHRiMP: accurate mapping of short color-space reads

Mapping and quantifying mammalian transcriptomes by RNA-Seq

Core signaling pathways in human pancreatic cancers revealed by global genomic analyses

Recurring mutations found by sequencing an acute myeloid leukemia genome

DNA sequencing of a cytogenetically normal acute myeloid leukaemia genome

Mapping short DNA sequencing reads and calling variants using mapping quality scores

Fast and accurate short read alignment with Burrows-Wheeler transform

RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays

The Sequence Alignment/Map format and SAMtools

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