Computational Resources for Bioscience Education
| dc.contributor.author | Kar, Rajiv K. | |
| dc.date.accessioned | 2021-12-07T08:02:19Z | |
| dc.date.available | 2021-12-07T08:02:19Z | |
| dc.date.issued | 2021-06-08 | |
| dc.description.abstract | With the ongoing laboratory restrictions, it is often challenging for bioscience students to make satisfactory progress in their projects. A long-standing practice in multi-disciplinary research is to use computational and theoretical method to corroborate with experiment findings. In line with the lack of opportunity to access laboratory instruments, the pandemic situation is a win-win scenario for scholars to focus on computational methods. This communication outline some of the standalone tools and webservers that bioscience students can successfully learn and adopt to obtain in-depth insights into biochemistry, biophysics, biotechnology, and bioengineering research work. | en |
| dc.description.sponsorship | TU Berlin, Open-Access-Mittel – 2021 | en |
| dc.identifier.eissn | 1559-0291 | |
| dc.identifier.issn | 0273-2289 | |
| dc.identifier.pmid | 34101113 | |
| dc.identifier.uri | https://depositonce.tu-berlin.de/handle/11303/13998 | |
| dc.identifier.uri | http://dx.doi.org/10.14279/depositonce-12771 | |
| dc.language.iso | en | en |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject.ddc | 540 Chemie und zugeordnete Wissenschaften | de |
| dc.subject.other | bioscience | en |
| dc.subject.other | classical simulations | en |
| dc.subject.other | quantum mechanics | en |
| dc.subject.other | structural modeling | en |
| dc.subject.other | visualizers | en |
| dc.title | Computational Resources for Bioscience Education | en |
| dc.type | Article | en |
| dc.type.version | publishedVersion | en |
| dcterms.bibliographicCitation.doi | 10.1007/s12010-021-03601-0 | en |
| dcterms.bibliographicCitation.issue | 10 | en |
| dcterms.bibliographicCitation.journaltitle | Applied Biochemistry and Biotechnology | en |
| dcterms.bibliographicCitation.originalpublishername | Springer Nature | en |
| dcterms.bibliographicCitation.originalpublisherplace | Berlin ; Heidelberg | en |
| dcterms.bibliographicCitation.pageend | 3424 | en |
| dcterms.bibliographicCitation.pagestart | 3418 | en |
| dcterms.bibliographicCitation.volume | 193 | en |
| tub.accessrights.dnb | free | en |
| tub.affiliation | Fak. 2 Mathematik und Naturwissenschaften::Inst. Chemie::FG Modellierung biomolekularer Systeme | de |
| tub.affiliation.faculty | Fak. 2 Mathematik und Naturwissenschaften | de |
| tub.affiliation.group | FG Modellierung biomolekularer Systeme | de |
| tub.affiliation.institute | Inst. Chemie | de |
| tub.publisher.universityorinstitution | Technische Universität Berlin | en |
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