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

Authors :
Dominik Heider
Michael Schwarz
Tolganay Kabdullayeva
Anke Becker
Bernd Freisleben
Marius Welzel
Source :
Bioinformatics
Publication Year :
2020
Publisher :
Oxford University Press (OUP), 2020.

Abstract

SummaryThe 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.

Details

ISSN :
14602059 and 13674803
Volume :
36
Database :
OpenAIRE
Journal :
Bioinformatics
Accession number :
edsair.doi.dedup.....18543a7983fe8a6de794411fd5cf8154