PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data - Wikidata - awgldk - TriplyDB

PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data

PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data

http://www.wikidata.org/entity/Q28752684

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Computational tools for copy number variation (CNV) detection using next-generation sequencing data: features and perspectives Personal genome sequencing: current approaches and challenges Next-generation VariationHunter: combinatorial algorithms for transposon insertion discovery inGAP-sv: a novel scheme to identify and visualize structural variation from paired end mapping data DELLY: structural variant discovery by integrated paired-end and split-read analysis Nucleotide-resolution analysis of structural variants using BreakSeq and a breakpoint library Structural variation discovery in the cancer genome using next generation sequencing: computational solutions and perspectives FusionSeq: a modular framework for finding gene fusions by analyzing Paired-End RNA-Sequencing data Detection of Genomic Structural Variants from Next-Generation Sequencing Data CNVnator: an approach to discover, genotype, and characterize typical and atypical CNVs from family and population genome sequencing PeSV-Fisher: identification of somatic and non-somatic structural variants using next generation sequencing data A genome-wide approach for detecting novel insertion-deletion variants of mid-range size Analysis of variable retroduplications in human populations suggests coupling of retrotransposition to cell division The Growing Importance of CNVs: New Insights for Detection and Clinical Interpretation The utility of DNA metabarcoding for studying the response of arthropod diversity and composition to land-use change in the tropics Copy number variation detection and genotyping from exome sequence data.Genome-wide mapping and assembly of structural variant breakpoints in the mouse genome MATE-CLEVER: Mendelian-inheritance-aware discovery and genotyping of midsize and long indels A survey of copy-number variation detection tools based on high-throughput sequencing data.Unraveling genomic variation from next generation sequencing data.Detection of structural DNA variation from next generation sequencing data: a review of informatic approaches.Bioinformatics for next generation sequencing data.VNTRseek-a computational tool to detect tandem repeat variants in high-throughput sequencing data.Identification of copy number variants in whole-genome data using Reference Coverage Profiles.G-CNV: A GPU-Based Tool for Preparing Data to Detect CNVs with Read-Depth Methods.Detecting non-allelic homologous recombination from high-throughput sequencing data.Performance evaluation of indel calling tools using real short-read data CRCDA--Comprehensive resources for cancer NGS data analysis.Sprites: detection of deletions from sequencing data by re-aligning split reads.Altools: a user friendly NGS data analyser.An NGS Workflow Blueprint for DNA Sequencing Data and Its Application in Individualized Molecular Oncology.Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants.PSE-HMM: genome-wide CNV detection from NGS data using an HMM with Position-Specific Emission probabilities.NGSView: an extensible open source editor for next-generation sequencing data.Designing deep sequencing experiments: detecting structural variation and estimating transcript abundance SLOPE: a quick and accurate method for locating non-SNP structural variation from targeted next-generation sequence data.EXCAVATOR: detecting copy number variants from whole-exome sequencing data Systematic inference of copy-number genotypes from personal genome sequencing data reveals extensive olfactory receptor gene content diversity Identification of structural variation in mouse genomes.Evaluating the fidelity of de novo short read metagenomic assembly using simulated data

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PEMer: a computational framework with simulation-based error models for inferring genomic structural variants from massive paired-end sequencing data

http://www.wikidata.org/entity/Q28752684

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2009 nî lūn-bûn

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2009 թուականի Փետրուարին հրատարակուած գիտական յօդուած

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2009 թվականի փետրվարին հրատարակված գիտական հոդված

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2009年の論文

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PEMer: a computational framewo ...... ive paired-end sequencing data

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Xinmeng Jasmine Mu

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Zhengdong Zhang

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P2860

Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

The diploid genome sequence of an individual human

Evaluation of paired-end sequencing strategies for detection of genome rearrangements in cancer

Structural variation in the human genome

Fine-scale structural variation of the human genome

Mapping and sequencing of structural variation from eight human genomes

The complete genome of an individual by massively parallel DNA sequencing

Genome sequencing in microfabricated high-density picolitre reactors

High-resolution mapping of DNA copy alterations in human chromosome 22 using high-density tiling oligonucleotide arrays.

Strong association of de novo copy number mutations with autism

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