Pages that link to "Q33725108"
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The following pages link to CNAseg--a novel framework for identification of copy number changes in cancer from second-generation sequencing data. (Q33725108):
Displaying 50 items.
- GROM-RD: resolving genomic biases to improve read depth detection of copy number variants (Q21128696) (← links)
- Current challenges in the bioinformatics of single cell genomics (Q21129298) (← links)
- COPS: a sensitive and accurate tool for detecting somatic Copy Number Alterations using short-read sequence data from paired samples (Q21133928) (← links)
- Computational tools for copy number variation (CNV) detection using next-generation sequencing data: features and perspectives (Q21284304) (← links)
- Detection of Genomic Structural Variants from Next-Generation Sequencing Data (Q28082859) (← links)
- Summarizing and correcting the GC content bias in high-throughput sequencing (Q28728245) (← links)
- Parsimonious higher-order hidden Markov models for improved array-CGH analysis with applications to Arabidopsis thaliana (Q30471421) (← links)
- A survey of copy-number variation detection tools based on high-throughput sequencing data. (Q30573762) (← links)
- Modeling read counts for CNV detection in exome sequencing data (Q30574430) (← links)
- SomatiCA: identifying, characterizing and quantifying somatic copy number aberrations from cancer genome sequencing data (Q30699650) (← links)
- Detection of structural DNA variation from next generation sequencing data: a review of informatic approaches (Q30729747) (← links)
- Comparative analysis of methods for identifying somatic copy number alterations from deep sequencing data (Q30771291) (← links)
- Identification of copy number variants in whole-genome data using Reference Coverage Profiles (Q30904066) (← links)
- G-CNV: A GPU-Based Tool for Preparing Data to Detect CNVs with Read-Depth Methods. (Q30915634) (← links)
- Modeling the next generation sequencing read count data for DNA copy number variant study (Q30978444) (← links)
- CNV-CH: A Convex Hull Based Segmentation Approach to Detect Copy Number Variations (CNV) Using Next-Generation Sequencing Data (Q30988364) (← links)
- CRCDA--Comprehensive resources for cancer NGS data analysis (Q31003638) (← links)
- PSE-HMM: genome-wide CNV detection from NGS data using an HMM with Position-Specific Emission probabilities (Q31140717) (← links)
- Copy number variation detection using next generation sequencing read counts. (Q33612735) (← links)
- Identification of structural variation in mouse genomes (Q33836160) (← links)
- cn.MOPS: mixture of Poissons for discovering copy number variations in next-generation sequencing data with a low false discovery rate (Q34030518) (← links)
- Correcting for cancer genome size and tumour cell content enables better estimation of copy number alterations from next-generation sequence data (Q34062061) (← links)
- Common copy number variation detection from multiple sequenced samples (Q34196056) (← links)
- CONTRA: copy number analysis for targeted resequencing (Q34219588) (← links)
- CoNVEX: copy number variation estimation in exome sequencing data using HMM (Q34569598) (← links)
- Robust Detection and Identification of Sparse Segments in Ultra-High Dimensional Data Analysis (Q34580821) (← links)
- Comparative studies of copy number variation detection methods for next-generation sequencing technologies (Q34634689) (← links)
- CNV-TV: a robust method to discover copy number variation from short sequencing reads (Q34698719) (← links)
- Future medical applications of single-cell sequencing in cancer (Q35558519) (← links)
- A somatic reference standard for cancer genome sequencing (Q35994200) (← links)
- Copy number alterations detected by whole-exome and whole-genome sequencing of esophageal adenocarcinoma (Q36062064) (← links)
- Improving detection of copy-number variation by simultaneous bias correction and read-depth segmentation (Q36580896) (← links)
- Use of autocorrelation scanning in DNA copy number analysis (Q37236862) (← links)
- Read count approach for DNA copy number variants detection (Q37971383) (← links)
- Technical and implementation issues in using next-generation sequencing of cancers in clinical practice (Q38124243) (← links)
- WaveCNV: allele-specific copy number alterations in primary tumors and xenograft models from next-generation sequencing (Q38308556) (← links)
- Whole-genome CNV analysis: advances in computational approaches (Q38445772) (← links)
- A Total-variation Constrained Permutation Model for Revealing Common Copy Number Patterns. (Q38603080) (← links)
- Next-Generation Sequencing and Applications to the Diagnosis and Treatment of Lung Cancer (Q38679306) (← links)
- Clinical Applications of Next-Generation Sequencing in Cancer Diagnosis (Q38976987) (← links)
- PSCC: sensitive and reliable population-scale copy number variation detection method based on low coverage sequencing (Q41832330) (← links)
- Challenges and opportunities for next-generation sequencing in companion diagnostics (Q43891611) (← links)
- Hybrid algorithms for multiple change-point detection in biological sequences. (Q45974107) (← links)
- A 1.35 Mb DNA fragment is inserted into the DHMN1 locus on chromosome 7q34-q36.2. (Q52674000) (← links)
- iCopyDAV: Integrated platform for copy number variations-Detection, annotation and visualization. (Q53278599) (← links)
- Noise cancellation using total variation for copy number variation detection (Q57801296) (← links)
- Copy number variant analysis using genome-wide mate-pair sequencing (Q88567669) (← links)
- Sequencing XMET genes to promote genotype-guided risk assessment and precision medicine (Q92203257) (← links)
- A systematic evaluation of copy number alterations detection methods on real SNP array and deep sequencing data (Q92236976) (← links)
- CONY: A Bayesian procedure for detecting copy number variations from sequencing read depths (Q96765578) (← links)