PathSeq: software to identify or discover microbes by deep sequencing of human tissue.
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Bacteria-human somatic cell lateral gene transfer is enriched in cancer samplesGenomic analysis identifies association of Fusobacterium with colorectal carcinomaThe Challenge and Potential of Metagenomics in the ClinicA review of bacteria-animal lateral gene transfer may inform our understanding of diseases like cancerMSMB variation and prostate cancer risk: clues towards a possible fungal etiologyIntegrated genomic characterization of papillary thyroid carcinomaFusobacterium nucleatum potentiates intestinal tumorigenesis and modulates the tumor-immune microenvironmentVirusSeeker, a computational pipeline for virus discovery and virome composition analysisAnalysis of the transcriptome in molecular epidemiology studiesThe mutational landscape of head and neck squamous cell carcinomaImmune DNA signature of T-cell infiltration in breast tumor exomes.No significant viral transcription detected in whole breast cancer transcriptomesVirusFinder: software for efficient and accurate detection of viruses and their integration sites in host genomes through next generation sequencing data.Finding the lost treasures in exome sequencing data.Mining RNA-seq data for infections and contaminations.Viral expression associated with gastrointestinal adenocarcinomas in TCGA high-throughput sequencing data.Prevention, diagnosis and treatment of high-throughput sequencing data pathologies.Clinical PathoScope: rapid alignment and filtration for accurate pathogen identification in clinical samples using unassembled sequencing data.Large scale comparison of non-human sequences in human sequencing data.Host Subtraction, Filtering and Assembly Validations for Novel Viral Discovery Using Next Generation Sequencing Data.Finding Pathogenic Nucleic Acid Sequences in Next Generation Sequencing Data.What's in your next-generation sequence data? An exploration of unmapped DNA and RNA sequence reads from the bovine reference individualIdentification of Known and Novel Recurrent Viral Sequences in Data from Multiple Patients and Multiple Cancers.The Genomic Scrapheap Challenge; Extracting Relevant Data from Unmapped Whole Genome Sequencing Reads, Including Strain Specific Genomic Segments, in Rats.Parasite infection of public databases: a data mining approach to identify apicomplexan contaminations in animal genome and transcriptome assemblies.Distinguishing potential bacteria-tumor associations from contamination in a secondary data analysis of public cancer genome sequence data.Impact of mutations in Toll-like receptor pathway genes on esophageal carcinogenesis.A cloud-compatible bioinformatics pipeline for ultrarapid pathogen identification from next-generation sequencing of clinical samplesIn search of a candidate pathogen for giant cell arteritis: sequencing-based characterization of the giant cell arteritis microbiome.Sequencing and computational approaches to identification and characterization of microbial organismsLandscape of genomic alterations in cervical carcinomas.Expanding the computational toolbox for mining cancer genomes.Next-generation sequencing fails to identify human virus sequences in cutaneous squamous cell carcinoma.Sequence-based discovery of Bradyrhizobium enterica in cord colitis syndrome.CaPSID: a bioinformatics platform for computational pathogen sequence identification in human genomes and transcriptomes.Characterization of HPV and host genome interactions in primary head and neck cancers.Malawi polyomavirus is a prevalent human virus that interacts with known tumor suppressors.MetaGeniE: characterizing human clinical samples using deep metagenomic sequencing.Cancer and the microbiota.Proceedings of the second international molecular pathological epidemiology (MPE) meeting
P2860
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P2860
PathSeq: software to identify or discover microbes by deep sequencing of human tissue.
description
2011 nî lūn-bûn
@nan
2011 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի մայիսին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
name
PathSeq: software to identify or discover microbes by deep sequencing of human tissue.
@ast
PathSeq: software to identify or discover microbes by deep sequencing of human tissue.
@en
type
label
PathSeq: software to identify or discover microbes by deep sequencing of human tissue.
@ast
PathSeq: software to identify or discover microbes by deep sequencing of human tissue.
@en
altLabel
PathSeq: software to identify or discover microbes by deep sequencing of human tissue
@en
prefLabel
PathSeq: software to identify or discover microbes by deep sequencing of human tissue.
@ast
PathSeq: software to identify or discover microbes by deep sequencing of human tissue.
@en
P2093
P2860
P50
P356
P1433
P1476
PathSeq: software to identify or discover microbes by deep sequencing of human tissue.
@en
P2093
Akinyemi I Ojesina
Aleksandar D Kostic
Joonil Jung
Roel G W Verhaak
P2860
P2888
P304
P356
10.1038/NBT.1868
P407
P577
2011-05-01T00:00:00Z