henhaobio
Sign in

bioRxivEvolutionary Biology

Gattaca: Base pair resolution mutation tracking for somatic evolution studies using agent-based models

R. O. Schenck, G. Brosula, J. West, S. Leedham, D. Shibata, A. R. Anderson

PDFDOIPreprint

Abstract

Gattaca provides the first base-pair resolution artificial genomes for tracking somatic mutations within agent based modeling. Through the incorporation of human reference genomes, mutational context, sequence coverage/error information Gattaca is able to realistically provide comparable sequence data for in-silico comparative evolution studies with human somatic evolution studies. This user-friendly method, incorporated into each in-silico cell, allows us to fully capture somatic mutation spectra and evolution.

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISPerera '23Luiselli '25Bradshaw '19Alioto '15Chandra '26Song '24
43% semantic matchBioinformatics
Deshan Perera, Elsa Reisenhofer, Said Hussein+3 more·Methods in Ecology and Evolution·Jun 29, 2023· 1 citations