Mukul S Bansal

University of Connecticut
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Articles (12)

Year:

2025

Year:

2024

Summary CNAsim is a software package for improved simulation of single-cell copy number alteration (CNA) data from tumors. CNAsim can be used to efficiently generate single-cell copy number profiles for thousands of simulated tumor cells under a more realistic error model and a broader range of possible CNA mechanisms compared with existing simulators. The error model implemented in CNAsim accounts for the specific biases of single-cell sequencing that leads to read count fluctuation and poor resolution of CNA detection. For improved realism over existing simulators, CNAsim can (i) generate WGD, whole-chromosomal CNAs, and chromosome-arm CNAs, (ii) simulate subclonal population structure defined by the accumulation of chromosomal CNAs, and (iii) dilute the sampled cell population with both normal diploid cells and pseudo-diploid cells. The software can also generate DNA-seq data for sampled cells. Availability and implementation CNAsim is written in Python and is freely available open-source from https://github.com/samsonweiner/CNAsim.

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2021

Year:

2021

Year:

2020

Year:

2020

Collaborators (4)

Matthew Fullmer

Lecturer

University of Auckland

NEW ZEALAND
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Joerg Graf

Professor

University of Connecticut

UNITED STATES
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Ion I. Măndoiu

University of Connecticut

UNITED STATES
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Johann Peter Gogarten

University of Connecticut

UNITED STATES
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