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NGS method for parallel processing of high quality, damaged or fragmented input material using target enrichment
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Gene Technology. KTH, Centres, Science for Life Laboratory, SciLifeLab. Karolinska Institutet, Clinical Genomics Stockholm Tumor and Cell Biology, Stockholm, Sweden.ORCID iD: 0000-0002-7612-0522
Department of Microbiology, Science for Life Laboratory, Karolinska Institutet, Clinical Genomics Stockholm Tumor and Cell Biology, Stockholm, Sweden.
Department of Microbiology, Science for Life Laboratory, Karolinska Institutet, Clinical Genomics Stockholm Tumor and Cell Biology, Stockholm, Sweden.
Department of Microbiology, Science for Life Laboratory, Karolinska Institutet, Clinical Genomics Stockholm Tumor and Cell Biology, Stockholm, Sweden.
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2024 (English)In: PLOS ONE, E-ISSN 1932-6203, Vol. 19, no 5 May, article id e0304411Article in journal (Refereed) Published
Abstract [en]

Next-generation sequencing (NGS) has been increasingly popular in genomics studies over the last decade and is now commonly used in clinical applications for precision diagnostics. Many disease areas typically involve different kinds of sample specimens, sample qualities and quantities. The quality of the DNA can range from intact, high molecular weight molecules to degraded, damaged and very short molecules. The differences in quality and quantity pose challenges for downstream molecular analyses. To overcome the challenge with the need of different molecular methods for different types of samples, we have developed a joint procedure for preparing enriched DNA libraries from high molecular weight DNA and DNA from formalin-fixed, paraffin-embedded tissue, fresh frozen tissue material, as well as cell-free DNA.

Place, publisher, year, edition, pages
Public Library of Science (PLoS) , 2024. Vol. 19, no 5 May, article id e0304411
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Biochemistry Molecular Biology
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URN: urn:nbn:se:kth:diva-347638DOI: 10.1371/journal.pone.0304411ISI: 001236995300055PubMedID: 38809937Scopus ID: 2-s2.0-85194878983OAI: oai:DiVA.org:kth-347638DiVA, id: diva2:1869233
Note

QC 20240613

Available from: 2024-06-12 Created: 2024-06-12 Last updated: 2025-02-20Bibliographically approved

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Lyander, AnnaWirta, Valtteri

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