• Media type: E-Article
  • Title: MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors
  • Contributor: Schwarz, Michael; Welzel, Marius; Kabdullayeva, Tolganay; Becker, Anke; Freisleben, Bernd; Heider, Dominik
  • Published: Oxford University Press (OUP), 2020
  • Published in: Bioinformatics, 36 (2020) 11, Seite 3322-3326
  • Language: English
  • DOI: 10.1093/bioinformatics/btaa140
  • ISSN: 1367-4803; 1367-4811
  • Origination:
  • Footnote:
  • Description: Abstract 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.
  • Access State: Open Access