Evidence map›Paper›PMID 29346365›Full record

ArticlePLoS computational biology2018

The ISCB Student Council Internship Program: Expanding computational biology capacity worldwide.

Jigisha Anupama, Margherita Francescatto, Farzana Rahman, Nazeefa Fatima, Dan DeBlasio, Avinash Kumar Shanmugam, Venkata Satagopam, Alberto Santos, Pandurang Kolekar, Magali Michaut and 1 more

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jigisha AnupamaUniversity College Dublin, Dublin, Ireland.
Margherita FrancescattoFondazione Bruno Kessler, Trento, Italy.ORCID 0000-0003-1232-7302
Farzana RahmanGenomics and Computational Biology Group, School of Computing and Mathematics, University of South Wales, Treforest, Wales, United Kingdom.
Nazeefa FatimaDepartment of Biology, Faculty of Science, Lund University, Lund, Sweden.ORCID 0000-0001-7791-4984
Dan DeBlasioComputational Biology Department, Carnegie Mellon University, Pittsburgh, Pennsylvania, United States of America.ORCID 0000-0003-4110-4431
Avinash Kumar ShanmugamUniversity of Michigan, Ann Arbor, Michigan, United States of America.
Venkata SatagopamLuxembourg Centre for Systems Biomedicine, Université du Luxembourg, Luxembourg City, Luxembourg.ORCID 0000-0002-6532-5880
Alberto SantosNovo Nordisk Foundation Center for Protein Research, Copenhagen, Denmark.
Pandurang KolekarStrand Life Sciences Pvt Ltd, Bengaluru, India.ORCID 0000-0003-0044-0076
Magali MichautThe Netherlands Cancer Institute, Amsterdam, Netherlands.
Emre GuneyJoint IRB-BSC-CRG Program in Computational Biology, Institute for Research in Biomedicine, Barcelona, Catalonia, Spain.ORCID 0000-0002-3466-6535

Funding

Algorithms for Managing Uncertainty in Chromosome Conformation Capture DataR01HG007104 · NHGRI · CARNEGIE-MELLON UNIVERSITY · PI KINGSFORD, CARLETON LEE · 2013 to 2015
$1.3M
NHGRI NIH HHS R01 HG007104NIH HHS R01HG007104
6 · The paper itself

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.

Indexed as

Internship and ResidencyAlgorithmsAustraliaComputational BiologyCurriculumDeveloping CountriesEuropeGeographyHumansProgram DevelopmentStudentsUniversities

Identifiers

PMID29346365
PMCPMC5772997

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.