MIRACUM-Pipe: An Adaptable Pipeline for Next-Generation Sequencing Analysis, Reporting, and Visualization for Clinical Decision Making

Author:

Metzger Patrick1ORCID,Hess Maria Elena12,Blaumeiser Andreas13,Pauli Thomas1ORCID,Schipperges Vincent1,Mertes Ralf12ORCID,Christoph Jan45ORCID,Unberath Philipp5,Reimer Niklas6ORCID,Scheible Raphael78ORCID,Illert Anna L.3910111213,Busch Hauke6,Andrieux Geoffroy1ORCID,Boerries Melanie13

Affiliation:

1. Institute of Medical Bioinformatics and Systems Medicine, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79110 Freiburg, Germany

2. Faculty of Biology, University of Freiburg, 79104 Freiburg, Germany

3. German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Freiburg, 79110 Freiburg, Germany

4. Junior Research Group (Bio-)Medical Data Science, Faculty of Medicine, Martin-Luther-University Halle-Wittenberg, 06122 Halle, Germany

5. Medical Informatics, Friedrich-Alexander University Erlangen-Nuremberg, 91058 Erlangen, Germany

6. Medical Systems Biology Group, Lübeck Institute Für Experimental Dermatology, University of Lübeck, Ratzeburger Alle 160, 23538 Lübeck, Germany

7. Institute for AI and Informatics in Medicine, University Hospital Rechts der Isar, Technical University Munich, 81675 Munich, Germany

8. Institute for Immunodeficiency, Center for Chronic Immunodeficiency, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79106 Freiburg, Germany

9. Department of Medicine III, Klinikum Rechts der Isar, Faculty of Medicine, Technical University of Munich, 81675 Munich, Germany

10. Department of Medicine I, Medical Center-University of Freiburg, Faculty of Medicine, University of Freiburg, 79110 Freiburg, Germany

11. TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, 81675 Munich, Germany

12. German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Partner Site Munich, 81675 Munich, Germany

13. Center for Personalized Medicine, Klinikum Rechts der Isar, Faculty of Medicine, Technical University of Munich, 81675 Munich, Germany

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.

Funder

German Federal Ministry of Education and Research (BMBF) by MIRACUM within the Medical Informatics Funding Scheme

Mildred-Scheel-Professorship Grant by the German Cancer Aid

Germany’s Excellence Strategy—EXC

Publisher

MDPI AG

Subject

Cancer Research,Oncology

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Molekulare Tumorboards;Forum;2024-01-12

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