ExomeAI: detection of recurrent allelic imbalance in tumors using whole-exome sequencing data. - Wikidata - wikimedia - TriplyDB

ExomeAI: detection of recurrent allelic imbalance in tumors using whole-exome sequencing data.

ExomeAI: detection of recurrent allelic imbalance in tumors using whole-exome sequencing data.

http://www.wikidata.org/entity/Q30858361

about

A Survey of Computational Tools to Analyze and Interpret Whole Exome Sequencing Data Molecular analyses reveal close similarities between small cell carcinoma of the ovary, hypercalcemic type and atypical teratoid/rhabdoid tumor.Spatial and temporal homogeneity of driver mutations in diffuse intrinsic pontine glioma.Germline and somatic FGFR1 abnormalities in dysembryoplastic neuroepithelial tumors.Whole-exome sequencing as a diagnostic tool: current challenges and future opportunities.Characterizing temporal genomic heterogeneity in pediatric high-grade gliomas.Atypical Tuberous Sclerosis Complex presenting as familial renal cell carcinoma with leiomyomatous stroma.

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P2860

ExomeAI: detection of recurrent allelic imbalance in tumors using whole-exome sequencing data.

http://www.wikidata.org/entity/Q30858361

description

2014 nî lūn-bûn

@nan

2014 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած

@hyw

2014 թվականի հոտեմբերին հրատարակված գիտական հոդված

@hy

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

name

ExomeAI: detection of recurren ...... g whole-exome sequencing data.

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ExomeAI: detection of recurren ...... g whole-exome sequencing data.

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type

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ExomeAI: detection of recurren ...... g whole-exome sequencing data.

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ExomeAI: detection of recurren ...... g whole-exome sequencing data.

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ExomeAI: detection of recurren ...... g whole-exome sequencing data.

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ExomeAI: detection of recurren ...... g whole-exome sequencing data.

@en

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Jacek Majewski

http://www.w3.org/2001/XMLSchema#string

Javad Nadaf

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Somayyeh Fahiminiya

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P2860

Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences

Computational methods for detecting copy number variations in cancer genome using next generation sequencing: principles and challenges

Comparative analysis of methods for identifying somatic copy number alterations from deep sequencing data.

A faster circular binary segmentation algorithm for the analysis of array CGH data.

An evaluation of copy number variation detection tools from whole-exome sequencing data.

Exome sequencing-based copy-number variation and loss of heterozygosity detection: ExomeCNV

Segmentation-based detection of allelic imbalance and loss-of-heterozygosity in cancer cells using whole genome SNP arrays.

Germline and somatic SMARCA4 mutations characterize small cell carcinoma of the ovary, hypercalcemic type.

Allelic imbalance analysis by high-density single-nucleotide polymorphic allele (SNP) array with whole genome amplified DNA.

Fusion of TTYH1 with the C19MC microRNA cluster drives expression of a brain-specific DNMT3B isoform in the embryonal brain tumor ETMR.

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429-431

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scholarly article

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10.1093/BIOINFORMATICS/BTU665

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3

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31

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Somayyeh Fahiminiya

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2014-10-08T00:00:00Z

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25297069

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4308664

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