Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/110206
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dc.contributor.authorMetzger, Patrick-
dc.contributor.authorHess, Maria Elena-
dc.contributor.authorBlaumeiser, Andreas-
dc.contributor.authorPauli, Thomas-
dc.contributor.authorSchipperges, Vincent-
dc.contributor.authorMertes, Ralf-
dc.contributor.authorChristoph, Jan-
dc.contributor.authorUnberath, Philipp-
dc.contributor.authorReimers, Niklas-
dc.contributor.authorScheible, Raphael-
dc.contributor.authorIllert, Anna Lena-
dc.contributor.authorBusch, Hauke-
dc.contributor.authorAndrieux, Geoffroy-
dc.contributor.authorBörries, Melanie-
dc.date.accessioned2023-09-04T11:59:53Z-
dc.date.available2023-09-04T11:59:53Z-
dc.date.issued2023-
dc.identifier.urihttps://opendata.uni-halle.de//handle/1981185920/112161-
dc.identifier.urihttp://dx.doi.org/10.25673/110206-
dc.description.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.eng
dc.language.isoeng-
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/-
dc.subject.ddc610-
dc.titleMIRACUM-Pipe : an adaptable pipeline for next-generation sequencing analysis, reporting, and visualization for clinical decision makingeng
dc.typeArticle-
local.versionTypepublishedVersion-
local.bibliographicCitation.journaltitleCancers-
local.bibliographicCitation.volume15-
local.bibliographicCitation.issue13-
local.bibliographicCitation.pagestart1-
local.bibliographicCitation.pageend14-
local.bibliographicCitation.publishernameMDPI-
local.bibliographicCitation.publisherplaceBasel-
local.bibliographicCitation.doi10.3390/cancers15133456-
local.subject.keywordsmolecular tumor board; next-generation sequencing; pipeline; precision oncology; bioinformatics; computational biology; software; workflow; somatic variant calling-
local.openaccesstrue-
dc.identifier.ppn1858727804-
cbs.publication.displayform2023-
local.bibliographicCitation.year2023-
cbs.sru.importDate2023-09-04T11:59:24Z-
local.bibliographicCitationEnthalten in Cancers - Basel : MDPI, 2009-
local.accessrights.dnbfree-
Appears in Collections:Open Access Publikationen der MLU

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