![PDF] Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants | Semantic Scholar PDF] Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/aa261b192f8eef42d0724a397ee0515e738b588d/4-Figure1-1.png)
PDF] Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants | Semantic Scholar
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Bioinformatics Applications Note Genome Analysis Control-free Calling of Copy Number Alterations in Deep-sequencing Data Using Gc-content Normalization | Semantic Scholar
![PDF] WisecondorX: improved copy number detection for routine shallow whole-genome sequencing | Semantic Scholar PDF] WisecondorX: improved copy number detection for routine shallow whole-genome sequencing | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/7ba883a32a465c6790a2ac06aed46b658db5d38f/5-Figure1-1.png)
PDF] WisecondorX: improved copy number detection for routine shallow whole-genome sequencing | Semantic Scholar
![True CNVs in a simulated genome and detected by BIC-seq2. a Forty CNVs... | Download Scientific Diagram True CNVs in a simulated genome and detected by BIC-seq2. a Forty CNVs... | Download Scientific Diagram](https://www.researchgate.net/publication/315062499/figure/fig4/AS:962449238925313@1606477188214/True-CNVs-in-a-simulated-genome-and-detected-by-BIC-seq2-a-Forty-CNVs-were-introduced-in.gif)
True CNVs in a simulated genome and detected by BIC-seq2. a Forty CNVs... | Download Scientific Diagram
![Frontiers | A shortest path-based approach for copy number variation detection from next-generation sequencing data Frontiers | A shortest path-based approach for copy number variation detection from next-generation sequencing data](https://www.frontiersin.org/files/Articles/1084974/fgene-13-1084974-HTML-r3/image_m/fgene-13-1084974-g005.jpg)
Frontiers | A shortest path-based approach for copy number variation detection from next-generation sequencing data
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Frontiers | Detection of copy number variations based on a local distance using next-generation sequencing data
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Frontiers | A Cluster-Based Approach for the Discovery of Copy Number Variations From Next-Generation Sequencing Data
Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants
![Frontiers | A Cluster-Based Approach for the Discovery of Copy Number Variations From Next-Generation Sequencing Data Frontiers | A Cluster-Based Approach for the Discovery of Copy Number Variations From Next-Generation Sequencing Data](https://www.frontiersin.org/files/Articles/699510/fgene-12-699510-HTML-r1/image_m/fgene-12-699510-g003.jpg)
Frontiers | A Cluster-Based Approach for the Discovery of Copy Number Variations From Next-Generation Sequencing Data
GitHub - d3b-center/d3b_bic-seq2: CWL Implementation based on this tool http://compbio.med.harvard.edu/BIC-seq/ and this cluster implementation : https://github.com/ding-lab/BICSEQ2
![Analytical Validation of Clinical Whole-Genome and Transcriptome Sequencing of Patient-Derived Tumors for Reporting Targetable Variants in Cancer - ScienceDirect Analytical Validation of Clinical Whole-Genome and Transcriptome Sequencing of Patient-Derived Tumors for Reporting Targetable Variants in Cancer - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S1525157817306219-gr5.jpg)
Analytical Validation of Clinical Whole-Genome and Transcriptome Sequencing of Patient-Derived Tumors for Reporting Targetable Variants in Cancer - ScienceDirect
![PDF] WisecondorX: improved copy number detection for routine shallow whole-genome sequencing | Semantic Scholar PDF] WisecondorX: improved copy number detection for routine shallow whole-genome sequencing | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/7ba883a32a465c6790a2ac06aed46b658db5d38f/6-Figure4-1.png)
PDF] WisecondorX: improved copy number detection for routine shallow whole-genome sequencing | Semantic Scholar
![PDF] Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants | Semantic Scholar PDF] Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/aa261b192f8eef42d0724a397ee0515e738b588d/6-Figure3-1.png)
PDF] Copy number analysis of whole-genome data using BIC-seq2 and its application to detection of cancer susceptibility variants | Semantic Scholar
![True CNVs in a simulated genome and detected by BIC-seq2. a Forty CNVs... | Download Scientific Diagram True CNVs in a simulated genome and detected by BIC-seq2. a Forty CNVs... | Download Scientific Diagram](https://www.researchgate.net/publication/315062499/figure/fig4/AS:962449238925313@1606477188214/True-CNVs-in-a-simulated-genome-and-detected-by-BIC-seq2-a-Forty-CNVs-were-introduced-in_Q320.jpg)
True CNVs in a simulated genome and detected by BIC-seq2. a Forty CNVs... | Download Scientific Diagram
![PDF] dpGMM: A Dirichlet Process Gaussian Mixture Model for Copy Number Variation Detection in Low-Coverage Whole-Genome Sequencing Data | Semantic Scholar PDF] dpGMM: A Dirichlet Process Gaussian Mixture Model for Copy Number Variation Detection in Low-Coverage Whole-Genome Sequencing Data | Semantic Scholar](https://d3i71xaburhd42.cloudfront.net/67599f97fcb1685769db1734a10ad2519b8ef1c2/10-Table3-1.png)
PDF] dpGMM: A Dirichlet Process Gaussian Mixture Model for Copy Number Variation Detection in Low-Coverage Whole-Genome Sequencing Data | Semantic Scholar
![Frontiers | A Cluster-Based Approach for the Discovery of Copy Number Variations From Next-Generation Sequencing Data Frontiers | A Cluster-Based Approach for the Discovery of Copy Number Variations From Next-Generation Sequencing Data](https://www.frontiersin.org/files/Articles/699510/fgene-12-699510-HTML-r1/image_m/fgene-12-699510-g005.jpg)
Frontiers | A Cluster-Based Approach for the Discovery of Copy Number Variations From Next-Generation Sequencing Data
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