| Literature DB >> 29346365 |
Jigisha Anupama1, Margherita Francescatto2, Farzana Rahman3, Nazeefa Fatima4, Dan DeBlasio5, Avinash Kumar Shanmugam6, Venkata Satagopam7, Alberto Santos8, Pandurang Kolekar9, Magali Michaut10, Emre Guney11.
Abstract
Education and training are two essential ingredients for a successful career. On one hand, universities provide students a curriculum for specializing in one's field of study, and on the other, internships complement coursework and provide invaluable training experience for a fruitful career. Consequently, undergraduates and graduates are encouraged to undertake an internship during the course of their degree. The opportunity to explore one's research interests in the early stages of their education is important for students because it improves their skill set and gives their career a boost. In the long term, this helps to close the gap between skills and employability among students across the globe and balance the research capacity in the field of computational biology. However, training opportunities are often scarce for computational biology students, particularly for those who reside in less-privileged regions. Aimed at helping students develop research and academic skills in computational biology and alleviating the divide across countries, the Student Council of the International Society for Computational Biology introduced its Internship Program in 2009. The Internship Program is committed to providing access to computational biology training, especially for students from developing regions, and improving competencies in the field. Here, we present how the Internship Program works and the impact of the internship opportunities so far, along with the challenges associated with this program.Entities:
Mesh:
Year: 2018 PMID: 29346365 PMCID: PMC5772997 DOI: 10.1371/journal.pcbi.1005802
Source DB: PubMed Journal: PLoS Comput Biol ISSN: 1553-734X Impact factor: 4.475
Fig 1Geographical distribution of the Internship Program participants.
The countries where the institutions of the interns and host research labs are located are shown on the map for the participants of the Internship Program as of 2017. The color scale represents the number of internship locations (blue) and home country of the interns (green) that participated in the Internship Program. Luxembourg is highlighted in the inner map, indicated by the arrow. The numbers on the top of the countries correspond to the number of times the country has been the host or country of origin for the intern. The world map was generated using rworldmap R package.
Fig 2Internship Program: How it works.
Steps involved in the internship process. The tasks carried out by the EIC, the PI, and the interns (students) are represented as dark blue, light blue, and green boxes, respectively. First, PIs provide the details of an internship opportunity. Once confirmed, the EIC issues a call for interns and collects applications. Applications are then reviewed, and the shortlisted (up to five) applications are sent to the PI, who makes the final decision. The selected intern makes remaining arrangements with the assistance of the host group. Upon completion of the internship, the student prepares a brief report on her/his research activity and overall experience during the internship. EIC, Education and Internships Committee; PI, principal investigator.
List of internships organized by the EIC since the program’s conception in 2009.
| Host Lab | Student’s Home Country | Research Area | Internship Year | Student’s Current Position |
|---|---|---|---|---|
| Schneider lab, LCSB, Luxembourg | India | Functional annotation of enzymes | 2015 | Researcher at the Indian Institute of Chemical Biology, India |
| Bateman lab, EBI, United Kingdom | India | Protein sequence analysis | 2014 | Research fellow at the University of Leeds, United Kingdom |
| Ong lab, NICTA, Australia | Brazil | Visualization of genome-wide association study data | 2012–2013 | Master student at the Federal University of Rio de Janeiro, Brazil |
| Rost lab, TUM, Germany | Brazil | Protein sequence analysis | 2012–2013 | PhD student at the Federal University of Rio de Janeiro, Brazil |
| Rost lab, TUM, Germany | Brazil | Protein sequence analysis | 2011 | PhD student at the Federal University of Minas Gerais, Brazil |
| Rost lab, TUM, Germany | Kenya | Protein sequence analysis | 2010–2011 | Bioinformatician at the International Livestock Research Institute, Kenya |
| Rost lab, TUM, Germany | India | Protein sequence analysis | 2010–2011 | Assistant Professor at the King Fahd Medical Research Center, Saudi Arabia |
| Schneider lab, EMBL-Heidelberg, Germany | Estonia | Text mining for bioinformatics | 2010 | Research fellow at the Wellcome Trust Sanger Institute, United Kingdom |
Abbreviations: EBI, European Bioinformatics Institute; EIC, Education and Internships Committee; EMBL, European Molecular Biology Laboratory; LCSB, Luxembourg Centre for Systems Biomedicine; NICTA, National Information and Communications Technology Australia; TUM, Technical University of Munich.