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https://doi.org/10.21256/zhaw-26200| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | BioJava 5 : a community driven open-source bioinformatics library |
| Autor/-in: | Lafita, Aleix Bliven, Spencer Prlić, Andreas Guzenko, Dmytro Rose, Peter W. Bradley, Anthony Pavan, Paolo Myers-Turnbull, Douglas Valasatava, Yana Heuer, Michael Larson, Matt Burley, Stephen K. Duarte, Jose M. |
| et. al: | No |
| DOI: | 10.1371/journal.pcbi.1006791 10.21256/zhaw-26200 |
| Erschienen in: | PLOS Computational Biology |
| Band(Heft): | 15 |
| Heft: | 2 |
| Seite(n): | e1006791 |
| Erscheinungsdatum: | 2019 |
| Verlag / Hrsg. Institution: | Public Library of Science |
| ISSN: | 1553-7358 |
| Sprache: | Englisch |
| Schlagwörter: | Bioinformatics; Structural genomics; Multiple alignment calculation; Protein structure; Comparison; Macromolecule; Molecular structure; Sequence alignment |
| Fachgebiet (DDC): | 004: Informatik 570: Biologie |
| Zusammenfassung: | BioJava is an open-source project that provides a Java library for processing biological data. The project aims to simplify bioinformatic analyses by implementing parsers, data structures, and algorithms for common tasks in genomics, structural biology, ontologies, phylogenetics, and more. Since 2012, we have released two major versions of the library (4 and 5) that include many new features to tackle challenges with increasingly complex macromolecular structure data. BioJava requires Java 8 or higher and is freely available under the LGPL 2.1 license. The project is hosted on GitHub at https://github.com/biojava/biojava. More information and documentation can be found online on the BioJava website (http://www.biojava.org) and tutorial (https://github.com/biojava/biojava-tutorial). All inquiries should be directed to the GitHub page or the BioJava mailing list (http://lists.open-bio.org/mailman/listinfo/biojava-l). |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/26200 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | CC BY 4.0: Namensnennung 4.0 International |
| Departement: | Life Sciences und Facility Management |
| Organisationseinheit: | Institut für Computational Life Sciences (ICLS) |
| Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
Dateien zu dieser Ressource:
| Datei | Beschreibung | Größe | Format | |
|---|---|---|---|---|
| 2019_Lafita-etal_BioJava-5-community-driven-open-source-bioinformatics-library_PLOS.pdf | 1.01 MB | Adobe PDF |  Öffnen/Anzeigen |
Zur Langanzeige
Lafita, A., Bliven, S., Prlić, A., Guzenko, D., Rose, P. W., Bradley, A., Pavan, P., Myers-Turnbull, D., Valasatava, Y., Heuer, M., Larson, M., Burley, S. K., & Duarte, J. M. (2019). BioJava 5 : a community driven open-source bioinformatics library. PLOS Computational Biology, 15(2), e1006791. https://doi.org/10.1371/journal.pcbi.1006791
Lafita, A. et al. (2019) ‘BioJava 5 : a community driven open-source bioinformatics library’, PLOS Computational Biology, 15(2), p. e1006791. Available at: https://doi.org/10.1371/journal.pcbi.1006791.
A. Lafita et al., “BioJava 5 : a community driven open-source bioinformatics library,” PLOS Computational Biology, vol. 15, no. 2, p. e1006791, 2019, doi: 10.1371/journal.pcbi.1006791.
LAFITA, Aleix, Spencer BLIVEN, Andreas PRLIĆ, Dmytro GUZENKO, Peter W. ROSE, Anthony BRADLEY, Paolo PAVAN, Douglas MYERS-TURNBULL, Yana VALASATAVA, Michael HEUER, Matt LARSON, Stephen K. BURLEY und Jose M. DUARTE, 2019. BioJava 5 : a community driven open-source bioinformatics library. PLOS Computational Biology. 2019. Bd. 15, Nr. 2, S. e1006791. DOI 10.1371/journal.pcbi.1006791
Lafita, Aleix, Spencer Bliven, Andreas Prlić, Dmytro Guzenko, Peter W. Rose, Anthony Bradley, Paolo Pavan, et al. 2019. “BioJava 5 : A Community Driven Open-Source Bioinformatics Library.” PLOS Computational Biology 15 (2): e1006791. https://doi.org/10.1371/journal.pcbi.1006791.
Lafita, Aleix, et al. “BioJava 5 : A Community Driven Open-Source Bioinformatics Library.” PLOS Computational Biology, vol. 15, no. 2, 2019, p. e1006791, https://doi.org/10.1371/journal.pcbi.1006791.
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