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SECEDO: SNV-based subclone detection using ultra-low coverage single-cell DNA sequencing.
Rozhonová, Hana; Danciu, Daniel; Stark, Stefan; Rätsch, Gunnar; Kahles, André; Lehmann, Kjong-Van.
Affiliation
  • Rozhonová H; Biomedical Informatics Group, Department of Computer Science, ETH Zurich, Zurich, Switzerland.
  • Danciu D; Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland.
  • Stark S; Swiss Institute of Bioinformatics, Lausanne, Switzerland.
  • Rätsch G; Biomedical Informatics Group, Department of Computer Science, ETH Zurich, Zurich, Switzerland.
  • Kahles A; Biomedical Informatics Research, University Hospital Zurich, Zurich, Switzerland.
  • Lehmann KV; Biomedical Informatics Group, Department of Computer Science, ETH Zurich, Zurich, Switzerland.
Bioinformatics ; 38(18): 4293-4300, 2022 09 15.
Article in En | MEDLINE | ID: mdl-35900151
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: High-Throughput Nucleotide Sequencing / Neoplasms Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Suiza
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: High-Throughput Nucleotide Sequencing / Neoplasms Type of study: Diagnostic_studies / Prognostic_studies Limits: Humans Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2022 Document type: Article Affiliation country: Suiza