MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors

Author:

Schwarz Michael1,Welzel Marius1ORCID,Kabdullayeva Tolganay2,Becker Anke2,Freisleben Bernd1,Heider Dominik1ORCID

Affiliation:

1. Department of Mathematics & Computer Science

2. Department of Biology, SYNMIKRO, University of Marburg, Marburg D-35032, Germany

Abstract

AbstractSummaryThe development of de novo DNA synthesis, polymerase chain reaction (PCR), DNA sequencing and molecular cloning gave researchers unprecedented control over DNA and DNA-mediated processes. To reduce the error probabilities of these techniques, DNA composition has to adhere to method-dependent restrictions. To comply with such restrictions, a synthetic DNA fragment is often adjusted manually or by using custom-made scripts. In this article, we present MESA (Mosla Error Simulator), a web application for the assessment of DNA fragments based on limitations of DNA synthesis, amplification, cloning, sequencing methods and biological restrictions of host organisms. Furthermore, MESA can be used to simulate errors during synthesis, PCR, storage and sequencing processes.Availability and implementationMESA is available at mesa.mosla.de, with the source code available at github.com/umr-ds/mesa_dna_sim.Contactdominik.heider@uni-marburg.deSupplementary informationSupplementary data are available at Bioinformatics online.

Funder

LOEWE program of the State of Hesse

MOSLA research cluster

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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