Simulating genetically heterozygous genomes in the tumour tissue according to its clonal evolution history Online publication date: Tue, 21-May-2019
by Yanshuo Chu; Mingxiang Teng; Yadong Wang
International Journal of Computational Biology and Drug Design (IJCBDD), Vol. 12, No. 2, 2019
Abstract: Tumours contain multiple, genetically diverse subclonal populations of cells that have evolved from a single progenitor population. Currently, next-generation sequencing (NGS) and the third generation sequencing (TGS) have recently allowed us to develop algorithms to quantitatively dissect the extent of heterogeneity within a tumour, resolve cancer evolution history and identify the somatic variations and aneuploidy events with subclonal frequency. However, existing tumour NGS data has no ground truth annotation to validate all these NGS based tumour analysis algorithms. To benchmark these algorithms, a powerful tumour genome simulation tool which could simulate all the distinct subclonal genomes with diverse aneuploidy events and somatic variations according to the given tumour evolution history is in need. We provide a simulation package, Pysubsim-tree, which could simulate the tumour genomes according to their evolution history defined by the somatic variations and aneuploidy events. Pysubsim-tree is free, open source, available at: https://github.com/dustincys/pysubsimtree.
Online publication date: Tue, 21-May-2019
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Biology and Drug Design (IJCBDD):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org