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

Autor:	Schwarz M; Department of Mathematics & Computer Science., Welzel M; Department of Mathematics & Computer Science., Kabdullayeva T; Department of Biology, SYNMIKRO, University of Marburg, Marburg D-35032, Germany., Becker A; Department of Biology, SYNMIKRO, University of Marburg, Marburg D-35032, Germany., Freisleben B; Department of Mathematics & Computer Science., Heider D; Department of Mathematics & Computer Science.
Jazyk:	angličtina
Zdroj:	Bioinformatics (Oxford, England) [Bioinformatics] 2020 Jun 01; Vol. 36 (11), pp. 3322-3326.
DOI:	10.1093/bioinformatics/btaa140
Abstrakt:	Summary: The 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 Implementation: MESA is available at mesa.mosla.de, with the source code available at github.com/umr-ds/mesa_dna_sim. Contact: dominik.heider@uni-marburg.de. Supplementary Information: Supplementary data are available at Bioinformatics online. (© The Author(s) 2020. Published by Oxford University Press.)
Databáze:	MEDLINE
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