Please use this identifier to cite or link to this item:
http://dx.doi.org/10.25673/110206
Title: | MIRACUM-Pipe : an adaptable pipeline for next-generation sequencing analysis, reporting, and visualization for clinical decision making |
Author(s): | Metzger, Patrick Hess, Maria Elena Blaumeiser, Andreas Pauli, Thomas Schipperges, Vincent Mertes, Ralf Christoph, Jan Unberath, Philipp Reimers, Niklas Scheible, Raphael Illert, Anna Lena Busch, Hauke Andrieux, Geoffroy Börries, Melanie |
Issue Date: | 2023 |
Type: | Article |
Language: | English |
Abstract: | (1) Background: Next-generation sequencing (NGS) of patients with advanced tumors is becoming an established method in Molecular Tumor Boards. However, somatic variant detection, interpretation, and report generation, require in-depth knowledge of both bioinformatics and oncology. (2) Methods: MIRACUM-Pipe combines many individual tools into a seamless workflow for comprehensive analyses and annotation of NGS data including quality control, alignment, variant calling, copy number variation estimation, evaluation of complex biomarkers, and RNA fusion detection. (3) Results: MIRACUM-Pipe offers an easy-to-use, one-prompt standardized solution to analyze NGS data, including quality control, variant calling, copy number estimation, annotation, visualization, and report generation. (4) Conclusions: MIRACUM-Pipe, a versatile pipeline for NGS, can be customized according to bioinformatics and clinical needs and to support clinical decision-making with visual processing and interactive reporting. |
URI: | https://opendata.uni-halle.de//handle/1981185920/112161 http://dx.doi.org/10.25673/110206 |
Open Access: | Open access publication |
License: | (CC BY 4.0) Creative Commons Attribution 4.0 |
Journal Title: | Cancers |
Publisher: | MDPI |
Publisher Place: | Basel |
Volume: | 15 |
Issue: | 13 |
Original Publication: | 10.3390/cancers15133456 |
Page Start: | 1 |
Page End: | 14 |
Appears in Collections: | Open Access Publikationen der MLU |
Files in This Item:
File | Description | Size | Format | |
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cancers-15-03456-v2.pdf | 1.5 MB | Adobe PDF | View/Open |