tHapMix
Computational Tool
FAIR Metrics
0 evaluations
General Information
DescriptionSimulating tumour samples through haplotype mixtures
Homepagehttps://github.com/Illumina/tHapMix
Publications
tHapMix: simulating tumour samples through haplotype mixtures
Sergii Ivakhno; Camilla Colombo; Stephen Tanner; Philip Tedder; Stefano Berri; Anthony J. Cox
Motivation: Large-scale rearrangements and copy number changes combined with different modes of clonal evolution create extensive somatic genome diversity, making it difficult to develop versatile and scalable variant calling tools and create well-calibrated benchmarks.
Results: We developed a new simulation framework tHapMix that enables the creation of tumour samples with different ploidy, purity and polyclonality features. It easily scales to simulation of hundreds of somatic genomes, while re-use of real read data preserves noise and biases present in sequencing platforms. We further demonstrate tHapMix utility by creating a simulated set of 140 somatic genomes and showing how it can be used in training and testing of somatic copy number variant calling tools.
Availability and implementation: tHapMix is distributed under an open source license and can be downloaded from https://github.com/Illumina/tHapMix.
Contact: sivakhno@illumina.com
Supplementary information: Supplementary data are available at Bioinformatics online.
Metrics:
Canned Analyses generated by the tool
There are no indexed analyses by this tool at the moment.
Datasets analyzed by the tool
There are no indexed analyses by this tool at the moment.
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.