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Development of Compendium for Esophageal Squamous Cell Carcinoma

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GOBLET: the Global Organisation for Bioinformatics Learning, Education and Training.

Teresa K Attwood, Teresa K Atwood¹, Erik Bongcam-Rudloff²

¹EMBnet, Nijmegen, The Netherlands.

Plos Computational Biology

|April 10, 2015

Summary

Life science big data requires specialized training, but university courses are lacking. Scientists globally are now collaborating to professionalize bioinformatics education and address this critical skills gap.

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Area of Science:

Life Sciences
Bioinformatics
Computational Biology

Background:

High-throughput technologies generate big data in life sciences.
There is a growing demand for data analysis and bioinformatics skills.
Universities are failing to meet this demand, with some even closing relevant courses.

Purpose of the Study:

To address the global shortage of bioinformatics training.
To establish a professional and collaborative approach to bioinformatics education.
To improve data analysis and interpretation skills for researchers.

Main Methods:

International collaboration among bioinformatics educators and trainers.
Sharing of training expertise, experience, and resources.
Developing standardized and professionalized training practices.

Main Results:

A global network of bioinformatics educators has been formed.
Cooperative efforts aim to bridge the skills gap in data science for life sciences.
Initiative seeks to enhance the quality and accessibility of bioinformatics training worldwide.

Conclusions:

Addressing the bioinformatics skills gap requires international cooperation.
Professionalizing training is essential for equipping researchers with necessary data skills.
Collaborative efforts will benefit students and researchers globally.