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Paper · 42979107

paRDal: bioinformatics framework for a parallel RNA and DNA NGS analysis in hereditary cancer diagnostics.

Matejkova K and 12 others. Front Bioinform, 2026.

11 sourcespapers-2026-11-12-0.1.0

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ConductScience Library. paRDal: bioinformatics framework for a parallel RNA and DNA NGS analysis in hereditary cancer diagnostics. Papers, record 42979107. Release papers-2026-11-12-0.1.0, 12 Nov 2026. https://conductscience.org/library/papers/42979107

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Title
paRDal: bioinformatics framework for a parallel RNA and DNA NGS analysis in hereditary cancer diagnostics.
Journal
Front Bioinform
Year
2026
Publication types
Journal Article
Revised in PubMed
2026-11-05

Source PubMed

Authors13

The authors in the order PubMed's record lists them, with the ORCID iDs it states.

OrderAuthorForenameKindORCID iD
1Matejkova KKaterina
2Nehasil PPetr
3Kleiblova PPetra
4Ptackova TTatana
5Cerna MMarta
6Just PPavel
7Vit OOndrej
8Zemankova PPetra
9Giertlova MMária
10Janatova MMarketa

1 to 10 of 13Source PubMed

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Topics0

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References62

The papers the reference list in PubMed's record names, those in our copy of PubMed, in the list's order.

OrderPMIDTitleJournalYearIn PapersSource
140,585,303MOLGENIS VIP: an end-to-end DNA variant interpretation pipeline for research and diagnostics configurable to support rapid implementation of new methods.NAR Genom Bioinform2025https://conductscience.org/library/papers/40585303PubMed
228,279,309Allele-specific wild-type TP53 expression in the unaffected carrier parent of children with Li-Fraumeni syndrome.Cancer Genet2017https://conductscience.org/library/papers/28279309PubMed
336,529,447Germline-focused analysis of tumour-detected variants in 49,264 cancer patients: ESMO Precision Medicine Working Group recommendations.Ann Oncol2023https://conductscience.org/library/papers/36529447PubMed
425,431,634From FastQ data to high confidence variant calls: the Genome Analysis Toolkit best practices pipeline.Curr Protoc Bioinformatics2013https://conductscience.org/library/papers/25431634PubMed
539,902,189Refining the interpretation of variants of uncertain significance in hereditary cancer screening through integrated RNA sequencing.Genet Med Open2025https://conductscience.org/library/papers/39902189PubMed
632,127,026Variants of uncertain significance in the era of high-throughput genome sequencing: a lesson from breast and ovary cancers.J Exp Clin Cancer Res2020https://conductscience.org/library/papers/32127026PubMed
731,679,514MaveDB: an open-source platform to distribute and interpret data from multiplexed assays of variant effect.Genome Biol2019https://conductscience.org/library/papers/31679514PubMed
840,627,838Semi-automated RNA Isolation from Tempus Blood RNA Tubes Using the Magcore Plus II Instrument.Folia Biol (Praha)2025https://conductscience.org/library/papers/40627838PubMed
940,436,861Cracking rare disorders: a new minimally invasive RNA-seq protocol.NPJ Genom Med2025https://conductscience.org/library/papers/40436861PubMed
1034,758,253100,000 Genomes Pilot on Rare-Disease Diagnosis in Health Care - Preliminary Report.N Engl J Med2021https://conductscience.org/library/papers/34758253PubMed

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Drugs0

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Data0

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Data dates

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PubMed
2026-11-06
PubMed
iCite
2026-11-05
iCite
PMC's ID file
2026-11-05
PMC's ID file
NIH RePORTER's grant and paper links
2026-11-01
NIH RePORTER's grant and paper links
Trials
2026-11-12
Gene search
2026-11-11
Pipelines
2026-09-18

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  • ClinicalTrials.govNo license stated
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  • iCiteCC BY 4.0
  • NCBI GenePublic domain (US government)
  • NIH RePORTER's grant and paper linksPublic domain
  • Open TargetsCC0 1.0
  • PMC's ID filePublic domain (US government)
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0
Each source's terms
  • ChEMBL, through Open TargetsCC BY-SA 3.0, for the parts from ChEMBL. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • ClinicalTrials.govnone stated
  • HGNCCC0: https://www.genenames.org/about/license/
  • iCiteCC BY 4.0
  • NCBI GeneNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • NIH RePORTER's grant and paper linksPublic domain (NIH RePORTER)
  • Open TargetsCC0 1.0. Open Targets asks that users cite its latest paper: Buniello et al. 2025, Open Targets Platform: facilitating therapeutic hypotheses building in drug discovery, Nucleic Acids Research 53(D1):D1467, PMID 39657122. Read on 8 Nov 2026 at https://platform-docs.opentargets.org/licence
  • PMC's ID fileNone named for the file. NCBI says information created by or for the US government on its site is in the public domain, and asks that NLM be acknowledged: https://www.ncbi.nlm.nih.gov/home/about/policies/
  • PubMedNLM's terms
  • PubTator 3Public domain
  • UniProtCC BY 4.0. UniProt's licence file: "All databases and documents in the UniProt FTP directory may be copied and redistributed freely, without advance permission, provided that this copyright statement is reproduced with each copy." UniProt asks that users cite its latest paper: The UniProt Consortium, UniProt: the Universal Protein Knowledgebase in 2025, Nucleic Acids Research 53:D609-D617, https://doi.org/10.1093/nar/gkae1010. Read on 9 Nov 2026 at https://www.uniprot.org/help/license

ClinicalTrials.gov's data carry an international copyright outside the United States: https://clinicaltrials.gov/about-site/terms-conditions.

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