Analysis of next-generation genomic data in cancer: accomplishments and challenges
about
Sequencing technologies and genome sequencingManipulation of DNA Repair Proficiency in Mouse Models of Colorectal CancerAnnotating individual human genomesGenomics of acute myeloid leukemiaRNA-Seq profiling reveals novel hepatic gene expression pattern in aflatoxin B1 treated ratsThe $1,000 genome, the $100,000 analysis?Postzygotic single-nucleotide mosaicisms in whole-genome sequences of clinically unremarkable individualsConnectivity Mapping for Candidate Therapeutics Identification Using Next Generation Sequencing RNA-Seq Dataggbio: an R package for extending the grammar of graphics for genomic dataVarioML framework for comprehensive variation data representation and exchangeSKINOMICS: Transcriptional Profiling in Dermatology and Skin BiologyIntersection of toxicogenomics and high throughput screening in the Tox21 program: an NIEHS perspectivePacific biosciences sequencing technology for genotyping and variation discovery in human dataTHetA: inferring intra-tumor heterogeneity from high-throughput DNA sequencing dataQuantifying tumor heterogeneity in whole-genome and whole-exome sequencing data.NGS meta data analysis for identification of SNP and INDEL patterns in human airway transcriptome: A preliminary indicator for lung cancer.Exome Sequencing of Oral Squamous Cell Carcinoma Reveals Molecular Subgroups and Novel Therapeutic OpportunitiesIntegrated analysis of recurrent properties of cancer genes to identify novel driversDesign and implementation of the Canadian Kidney Disease Cohort Study (CKDCS): A prospective observational study of incident hemodialysis patientsMaking sense of cancer genomic data.Sequencing studies in human genetics: design and interpretation.Technical desiderata for the integration of genomic data into Electronic Health Records.An integrative probabilistic model for identification of structural variation in sequencing data.Whole genome sequencing for lung cancer.The genomic landscape of chronic lymphocytic leukemia: clinical implications.Comparing somatic mutation-callers: beyond Venn diagrams.Revealing selection in cancer using the predicted functional impact of cancer mutations. Application to nomination of cancer drivers.Transcriptome analyses of the human retina identify unprecedented transcript diversity and 3.5 Mb of novel transcribed sequence via significant alternative splicing and novel genesAn efficient and scalable graph modeling approach for capturing information at different levels in next generation sequencing reads.Next-generation sequencing facilitates quantitative analysis of wild-type and Nrl(-/-) retinal transcriptomes.NGS catalog: A database of next generation sequencing studies in humans.Direct mutation analysis by high-throughput sequencing: from germline to low-abundant, somatic variantsReview of massively parallel DNA sequencing technologies.Joint genotyping on the fly: identifying variation among a sequenced panel of inbred lines.RNA-seq analysis of prostate cancer in the Chinese population identifies recurrent gene fusions, cancer-associated long noncoding RNAs and aberrant alternative splicings.Optimized pipeline of MuTect and GATK tools to improve the detection of somatic single nucleotide polymorphisms in whole-exome sequencing dataPysim-sv: a package for simulating structural variation data with GC-biases.LARVA: an integrative framework for large-scale analysis of recurrent variants in noncoding annotationsGenome-wide sequencing to identify the cause of hereditary cancer syndromes: with examples from familial pancreatic cancer.The potential for liquid biopsies in the precision medical treatment of breast cancer.
P2860
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P2860
Analysis of next-generation genomic data in cancer: accomplishments and challenges
description
2010 nî lūn-bûn
@nan
2010 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի հոտեմբերին 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
Analysis of next-generation genomic data in cancer: accomplishments and challenges
@ast
Analysis of next-generation genomic data in cancer: accomplishments and challenges
@en
Analysis of next-generation genomic data in cancer: accomplishments and challenges
@nl
type
label
Analysis of next-generation genomic data in cancer: accomplishments and challenges
@ast
Analysis of next-generation genomic data in cancer: accomplishments and challenges
@en
Analysis of next-generation genomic data in cancer: accomplishments and challenges
@nl
prefLabel
Analysis of next-generation genomic data in cancer: accomplishments and challenges
@ast
Analysis of next-generation genomic data in cancer: accomplishments and challenges
@en
Analysis of next-generation genomic data in cancer: accomplishments and challenges
@nl
P2093
P2860
P3181
P356
P1476
Analysis of next-generation genomic data in cancer: accomplishments and challenges
@en
P2093
Daniel C Koboldt
Michael C Wendl
P2860
P304
P3181
P356
10.1093/HMG/DDQ391
P407
P577
2010-10-15T00:00:00Z