MIAmS: microsatellite instability detection on NGS amplicons data
Abstract Summary Microsatellite instability (MSI) is a molecular marker of DNA mismatch repair deficiency frequently at play in oncogenesis. MSI testing is used for diagnostic, prognostic and therapeutic purposes in several cancers. The current gold standard analysis for microsatellite status is bas...
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Published in: | Bioinformatics Vol. 36; no. 6; pp. 1915 - 1916 |
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Main Authors: | , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
England
Oxford University Press
24-10-2019
Oxford University Press (OUP) |
Subjects: | |
Online Access: | Get full text |
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Summary: | Abstract
Summary
Microsatellite instability (MSI) is a molecular marker of DNA mismatch repair deficiency frequently at play in oncogenesis. MSI testing is used for diagnostic, prognostic and therapeutic purposes in several cancers. The current gold standard analysis for microsatellite status is based on length distribution analysis of multiplex-PCR generated DNA fragments from tumor samples which is a laborious and time consuming method. Next generation sequencing (NGS) using amplicon panels is an easy, accurate and scalable technique to determine both the microsatellite status and tumor genome mutations at the same time. Here, we describe MIAmS, an application designed to tag microsatellite status from amplicon NGS of tumor samples. Interestingly, this tool does not require paired normal tissue for comparison. In addition, this scalable application provides a user-friendly report for the interpretation of the results by biologists and exhibits a strong accuracy and robustness for determination of the MSI status.
Availability and implementation
https://github.com/bialimed/miams. Evaluation data are available at http://www.ebi.ac.uk/ena/data/view/PRJEB31725.
Supplementary information
Supplementary data are available at Bioinformatics online. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1367-4803 1460-2059 1367-4811 |
DOI: | 10.1093/bioinformatics/btz797 |