Integrating Molecular Biology and Bioinformatics Education
Combined awareness about the power and limitations of bioinformatics and molecular biology enables advanced research based on high-throughput data. Despite an increasing demand of scientists with a combined background in both fields, the education of dry and wet lab subjects are often still separate...
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Published in | Journal of integrative bioinformatics Vol. 16; no. 3; pp. 398 - 404 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Germany
De Gruyter
30.05.2019
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Subjects | |
Online Access | Get full text |
ISSN | 1613-4516 1613-4516 |
DOI | 10.1515/jib-2019-0005 |
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Abstract | Combined awareness about the power and limitations of bioinformatics and molecular biology enables advanced research based on high-throughput data. Despite an increasing demand of scientists with a combined background in both fields, the education of dry and wet lab subjects are often still separated. This work describes an example of integrated education with a focus on genomics and transcriptomics. Participants learned computational and molecular biology methods in the same practical course. Peer-review was applied as a teaching method to foster cooperative learning of students with heterogeneous backgrounds. The positive evaluation results indicate that this approach was accepted by the participants and would likely be suitable for wider scale application. |
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AbstractList | Combined awareness about the power and limitations of bioinformatics and molecular biology enables advanced research based on high-throughput data. Despite an increasing demand of scientists with a combined background in both fields, the education of dry and wet lab subjects are often still separated. This work describes an example of integrated education with a focus on genomics and transcriptomics. Participants learned computational and molecular biology methods in the same practical course. Peer-review was applied as a teaching method to foster cooperative learning of students with heterogeneous backgrounds. The positive evaluation results indicate that this approach was accepted by the participants and would likely be suitable for wider scale application. Combined awareness about the power and limitations of bioinformatics and molecular biology enables advanced research based on high-throughput data. Despite an increasing demand of scientists with a combined background in both fields, the education of dry and wet lab subjects are often still separated. This work describes an example of integrated education with a focus on genomics and transcriptomics. Participants learned computational and molecular biology methods in the same practical course. Peer-review was applied as a teaching method to foster cooperative learning of students with heterogeneous backgrounds. The positive evaluation results indicate that this approach was accepted by the participants and would likely be suitable for wider scale application.Combined awareness about the power and limitations of bioinformatics and molecular biology enables advanced research based on high-throughput data. Despite an increasing demand of scientists with a combined background in both fields, the education of dry and wet lab subjects are often still separated. This work describes an example of integrated education with a focus on genomics and transcriptomics. Participants learned computational and molecular biology methods in the same practical course. Peer-review was applied as a teaching method to foster cooperative learning of students with heterogeneous backgrounds. The positive evaluation results indicate that this approach was accepted by the participants and would likely be suitable for wider scale application. |
Author | Schilbert, Hanna Marie Schumacher, Sina Franziska Pucker, Boas |
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BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31145692$$D View this record in MEDLINE/PubMed |
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Cites_doi | 10.1093/bib/bbx100 10.1101/407627 10.3389/fmolb.2018.00062 10.1038/nj0478 10.1186/s13059-014-0550-8 10.1371/journal.pcbi.1003496 10.1371/journal.pcbi.1003897 10.1093/femsle/fny204 10.1371/journal.pcbi.0010052 10.1371/journal.pone.0164321 10.1126/science.1095480 10.1093/bib/bbt023 10.1093/bioinformatics/btu170 10.1371/journal.pbio.0030196 10.1101/gr.107524.110 10.4161/fly.19695 10.1093/bioinformatics/bts635 10.1016/S0022-2836(05)80360-2 10.1186/2047-217X-1-18 10.1093/nar/gkt418 10.1073/pnas.1607532113 10.1093/nar/gkq1019 10.1371/journal.pcbi.1003896 10.1093/nar/gkr1090 10.28945/3131 10.3835/plantgenome2012.05.0005 10.1093/bib/bbt043 10.1093/bioinformatics/btt656 10.1371/journal.pone.0094077 10.1371/journal.pcbi.1005772 |
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Copyright | 2019, Boas Pucker et al., published by Walter de Gruyter GmbH, Berlin/Boston 2019 Boas Pucker et al., published by Walter de Gruyter GmbH, Berlin/Boston |
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