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Enabling large-scale clinical sequencing through the automation of bioinformatic workflows and data management
Karolinska Inst, Dept Microbiol Tumor & Cell Biol, SciLifeLab, Solna, Sweden..
Karolinska Inst, Dept Microbiol Tumor & Cell Biol, SciLifeLab, Solna, Sweden..
Karolinska Inst, Dept Microbiol Tumor & Cell Biol, SciLifeLab, Solna, Sweden..
KTH, School of Engineering Sciences in Chemistry, Biotechnology and Health (CBH), Gene Technology. KTH, Centres, Science for Life Laboratory, SciLifeLab. Karolinska Inst, Dept Microbiol Tumor & Cell Biol, SciLifeLab, Solna, Sweden.;Karolinska Univ Hosp, Genom Med Ctr Karolinska, Solna, Sweden.ORCID iD: 0000-0003-3811-5439
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2024 (English)In: European Journal of Human Genetics, ISSN 1018-4813, E-ISSN 1476-5438, Vol. 32, p. 663-664Article in journal, Meeting abstract (Other academic) Published
Place, publisher, year, edition, pages
Springer Nature , 2024. Vol. 32, p. 663-664
National Category
Bioinformatics and Computational Biology
Identifiers
URN: urn:nbn:se:kth:diva-344118ISI: 001147414903255OAI: oai:DiVA.org:kth-344118DiVA, id: diva2:1841982
Conference
56th Annual Conference of the European-Society-of-Human-Genetics (ESHG), JUN 10-13, 2023, Glasgow, SCOTLAND
Note

QC 20240301

Available from: 2024-03-01 Created: 2024-03-01 Last updated: 2025-02-07Bibliographically approved

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Wirta, Valtteri

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Gene TechnologyScience for Life Laboratory, SciLifeLab
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