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Codetta: predicting the genetic code from nucleotide sequence.
Shulgina, Yekaterina; Eddy, Sean R.
Affiliation
  • Shulgina Y; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.
  • Eddy SR; Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA.
Bioinformatics ; 39(1)2023 01 01.
Article in En | MEDLINE | ID: mdl-36511586
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genetic Code Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom
Fulltext
Add to My VHL
Print
XML
PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Software / Genetic Code Type of study: Prognostic_studies / Risk_factors_studies Language: En Journal: Bioinformatics Journal subject: INFORMATICA MEDICA Year: 2023 Document type: Article Affiliation country: United States Country of publication: United kingdom