Uniform genomic data analysis in the NCI Genomic Data Commons
暂无分享,去创建一个
Robert L. Grossman | Allison P. Heath | Francisco M. Ortuño | Zhenyu Zhang | Stuti Agrawal | Kyle M. Hernandez | Jeremiah Savage | Shenglai Li | Dan Miller | Lou Staudt | L. Staudt | R. Grossman | Zhenyu Zhang | K. Hernandez | F. Ortuño | Stuti Agrawal | J. Savage | Daniel P. Miller | Shenglai Li
[1] F. Cunningham,et al. The Ensembl Variant Effect Predictor , 2016, Genome Biology.
[2] Lin He,et al. In-depth comparison of somatic point mutation callers based on different tumor next-generation sequencing depth data , 2016, Scientific Reports.
[3] W. Huber,et al. Detecting differential usage of exons from RNA-seq data , 2012, Genome research.
[4] Alkes L. Price,et al. Using population admixture to help complete maps of the human genome , 2013, Nature Genetics.
[5] M. DePristo,et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. , 2010, Genome research.
[6] Vivek Gopalan,et al. The Papillomavirus Episteme: a central resource for papillomavirus sequence data and analysis , 2012, Nucleic Acids Res..
[7] Marcel J T Reinders,et al. Pan-cancer subtyping in a 2D-map shows substructures that are driven by specific combinations of molecular characteristics , 2016, Scientific Reports.
[8] M. DePristo,et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data , 2011, Nature Genetics.
[9] P. A. Futreal,et al. MuSE: accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling from sequencing data , 2016, Genome Biology.
[10] Gonçalo R. Abecasis,et al. The Sequence Alignment/Map format and SAMtools , 2009, Bioinform..
[11] Joshua M. Korn,et al. Integrated genotype calling and association analysis of SNPs, common copy number polymorphisms and rare CNVs , 2008, Nature Genetics.
[12] W. Huber,et al. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 , 2014, Genome Biology.
[13] Ana Kozomara,et al. miRBase: annotating high confidence microRNAs using deep sequencing data , 2013, Nucleic Acids Res..
[14] Shu-Bing Qian,et al. Quantitative profiling of initiating ribosomes in vivo , 2014, Nature Methods.
[15] Michael C. Heinold,et al. A comprehensive assessment of somatic mutation detection in cancer using whole-genome sequencing , 2015, Nature Communications.
[16] Peter W. Laird,et al. Comprehensive characterization, annotation and innovative use of Infinium DNA methylation BeadChip probes , 2016, Nucleic acids research.
[17] Allison P. Heath,et al. Toward a Shared Vision for Cancer Genomic Data. , 2016, The New England journal of medicine.
[18] Heng Li. Aligning sequence reads, clone sequences and assembly contigs with BWA-MEM , 2013, 1303.3997.
[19] Mauricio O. Carneiro,et al. From FastQ Data to High‐Confidence Variant Calls: The Genome Analysis Toolkit Best Practices Pipeline , 2013, Current protocols in bioinformatics.
[20] B. Williams,et al. Mapping and quantifying mammalian transcriptomes by RNA-Seq , 2008, Nature Methods.
[21] Ken Chen,et al. SomaticSniper: identification of somatic point mutations in whole genome sequencing data , 2012, Bioinform..
[22] Steven J. M. Jones,et al. Comprehensive molecular characterization of human colon and rectal cancer , 2012, Nature.
[23] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[24] Steven J. M. Jones,et al. Large-scale profiling of microRNAs for The Cancer Genome Atlas , 2015, Nucleic acids research.
[25] German Tischler,et al. biobambam: tools for read pair collation based algorithms on BAM files , 2013, Source Code for Biology and Medicine.
[26] Mark D. Robinson,et al. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data , 2009, Bioinform..
[27] Richard Durbin,et al. Sequence analysis Fast and accurate short read alignment with Burrows – Wheeler transform , 2009 .
[28] Ravi Vijaya Satya,et al. Comparison of somatic mutation calling methods in amplicon and whole exome sequence data , 2014, BMC Genomics.
[29] Trevor J Pugh,et al. Discovery and characterization of artifactual mutations in deep coverage targeted capture sequencing data due to oxidative DNA damage during sample preparation , 2013, Nucleic acids research.
[30] Bronwen L. Aken,et al. GENCODE: The reference human genome annotation for The ENCODE Project , 2012, Genome research.
[31] Christopher A. Miller,et al. VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing. , 2012, Genome research.
[32] K. Sirotkin,et al. The NCBI dbGaP database of genotypes and phenotypes , 2007, Nature Genetics.
[33] A. Sivachenko,et al. Sensitive detection of somatic point mutations in impure and heterogeneous cancer samples , 2013, Nature Biotechnology.
[34] Yan Guo,et al. Improvements and impacts of GRCh38 human reference on high throughput sequencing data analysis. , 2017, Genomics.
[35] Paul Theodor Pyl,et al. HTSeq—a Python framework to work with high-throughput sequencing data , 2014, bioRxiv.
[36] Peilin Jia,et al. Detecting somatic point mutations in cancer genome sequencing data: a comparison of mutation callers , 2013, Genome Medicine.
[37] Gonçalo R. Abecasis,et al. Unified representation of genetic variants , 2015, Bioinform..
[38] Benjamin J. Raphael,et al. Integrated genomic characterization of oesophageal carcinoma , 2017, Nature.
[39] G. Church,et al. Sequencing genomes from single cells by polymerase cloning , 2006, Nature Biotechnology.
[40] M. Wigler,et al. Circular binary segmentation for the analysis of array-based DNA copy number data. , 2004, Biostatistics.
[41] Thomas R. Gingeras,et al. STAR: ultrafast universal RNA-seq aligner , 2013, Bioinform..
[42] C. Amos,et al. RNA-Seq Analysis of Differential Splice Junction Usage and Intron Retentions by DEXSeq , 2015, PloS one.