A Simulation Framework for Reconfigurable Processors in Large-Scale Distributed Systems

Author(s):  
M. Faisal Nadeem ◽  
S. Arash Ostadzadeh ◽  
M. Nadeem ◽  
Stephan Wong ◽  
Koen Bertels
2007 ◽  
Vol 41 (2) ◽  
pp. 83-88
Author(s):  
Flavio P. Junqueira ◽  
Vassilis Plachouras ◽  
Fabrizio Silvestri ◽  
Ivana Podnar

2019 ◽  
Vol 221 ◽  
pp. 695-706 ◽  
Author(s):  
Jianbo Qi ◽  
Donghui Xie ◽  
Tiangang Yin ◽  
Guangjian Yan ◽  
Jean-Philippe Gastellu-Etchegorry ◽  
...  

2016 ◽  
Author(s):  
Sergii Ivakhno ◽  
Camilla Colombo ◽  
Stephen Tanner ◽  
Philip Tedder ◽  
Stefano Berri ◽  
...  

AbstractMotivationLarge-scale rearrangements and copy number changes combined with different modes of cloevolution create extensive somatic genome diversity, making it difficult to develop versatile and scalable oriant calling tools and create well-calibrated benchmarks.ResultsWe 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 implementationtHapMix is distributed under an open source license and can be downloaded from https://github.com/Illumina/[email protected] informationSupplementary data are available at Bioinformatics online.


2014 ◽  
Vol 46 (4) ◽  
pp. 1-31 ◽  
Author(s):  
Anne-Cecile Orgerie ◽  
Marcos Dias de Assuncao ◽  
Laurent Lefevre

2011 ◽  
Vol 5 (2) ◽  
pp. 221-257 ◽  
Author(s):  
Ciprian Dobre ◽  
Florin Pop ◽  
Valentin Cristea

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