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MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors
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-dependen...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267826/ https://www.ncbi.nlm.nih.gov/pubmed/32129840 http://dx.doi.org/10.1093/bioinformatics/btaa140 |
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author | Schwarz, Michael Welzel, Marius Kabdullayeva, Tolganay Becker, Anke Freisleben, Bernd Heider, Dominik |
author_facet | Schwarz, Michael Welzel, Marius Kabdullayeva, Tolganay Becker, Anke Freisleben, Bernd Heider, Dominik |
author_sort | Schwarz, Michael |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7267826 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72678262020-06-09 MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors Schwarz, Michael Welzel, Marius Kabdullayeva, Tolganay Becker, Anke Freisleben, Bernd Heider, Dominik Bioinformatics Original Papers 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. Oxford University Press 2020-06 2020-03-04 /pmc/articles/PMC7267826/ /pubmed/32129840 http://dx.doi.org/10.1093/bioinformatics/btaa140 Text en © The Author(s) 2020. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Schwarz, Michael Welzel, Marius Kabdullayeva, Tolganay Becker, Anke Freisleben, Bernd Heider, Dominik MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors |
title | MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors |
title_full | MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors |
title_fullStr | MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors |
title_full_unstemmed | MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors |
title_short | MESA: automated assessment of synthetic DNA fragments and simulation of DNA synthesis, storage, sequencing and PCR errors |
title_sort | mesa: automated assessment of synthetic dna fragments and simulation of dna synthesis, storage, sequencing and pcr errors |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267826/ https://www.ncbi.nlm.nih.gov/pubmed/32129840 http://dx.doi.org/10.1093/bioinformatics/btaa140 |
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