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A global perspective on bioinformatics training needs

BioRXiv 2017

Abstract

In the last decade, life-science research has become increasingly data-intensive and computational. Nevertheless, basic bioinformatics and data stewardship are still only rarely taught in life-science degree programmes, creating a widening skills gap that spans educational levels and career roles. To better understand this situation, we ran surveys to determine how the skills dearth is affecting the need for bioinformatics training worldwide. Perhaps unsurprisingly, we found that respondents wanted more short courses to help boost their expertise and confidence in data analysis and interpretation. However, it was evident that most respondents appreciated their need for training only after designing their experiments and collecting their data. This is clearly rather late in the research workflow, and suboptimal from a training perspective, as skills acquired to address a specific need at a particular time are seldom retained, engendering a cycle of low confidence in trainees. To ensure that such skill gaps do not continue to create barriers to the progress of research, we argue that universities should strive to bring their life-science curricula into the digital-data era. Meanwhile, the demand for point-of-need training in bioinformatics and data stewardship will grow. While this situation persists, international groups like GOBLET are increasing their efforts to enlarge the community of trainers and quench the global thirst for bioinformatics training.
Title A global perspective on bioinformatics training needs
Authors
Series title BioRXiv
Year of Publication 2017
Language eng
Publisher BioRXiv, Cold Spring Harbor
URL http://biorxiv.org/content/early/2017/02/27/098996
DOI https://doi.org/10.1101/098996

Topics

1D Dynamic gating
1D Static gating
Advanced Bioinformatics training
affymetrix
AllBio
Alternative expression
animal pathogens
assembly
awk
bash
binning
Biocuration
Biohistory
bioinformatics
bioinformatics history
BioJS
Biological databases
Biological networks
Biomarker discovery
biomolecular databases
biomolecular sequences
Biopython
biostatistics
BLAST
bootstrap
Chemical biology
ChIP-seq anayses
ChIPSeq
Clinical Bioinformatics
Cloud
Cloud computing
clustalw
command linex
commands
consensus trees
course development
Cross-domain
Curation
Cytoscape
Data analysis
data visualization
De Novo
de-novo genome assembly
Differential expression
Disease causing mutation
DNA & RNA
Dotmatrix plots
e-learning
Education
EMBOSS
European perspective
Evolutionary Bioinformatics
evolutionary biology
Experimental design for RNA-seq
expert systems
Farm animals
FCS files
Flat-file databases
Flat-files
Flow cytometry data
FlowCAP
Functional Association Networks
functional diagnosis
gaming
gene expression
Gene Function Prediction
Gene lists
Gene ontology
GeneMANIA
GeneQuiz
genome browsing
Genome sequence analysis
genomics
Genotyping
GOBLET
GOBLET survey of life scientists
GSEA
High Throughput Sequencing Analysis
HMMER
identification
Identifiers
IGV
Instruction
integrated diagnostic tools
InterPro
introduction to bioinformatics
Introduction to BLAST
Introduction to flow cytometry
Introduction to InterPro
Introduction to RNA-Seq analysis
Introduction to the PDB
Introduction to UniProt
Introduction to Unix
JavaScript
KEGG
Linux basics
Literature
mass spectrometry
metagenomics
microarray data analysis
microarrays
Mind Map
molecular evolution
Molecular phylogeny
MOOC
multiple sequence alignment
multiple sequence analysis
mySQL
Network Visualization
next generation sequencing
Next generation sequencing data analysis
NGS
NGS bioinformatics
online learning
Ontologies
Ontology
Operating System
Over-representation analysis
pathogenesis
Pathway analysis
pattern discovery
pattern matching
pedagogy
perl
phylip
phylogenetic splits
phylogenetics
phylogeny
phytopathogens
plants
Plants bioinformatics
Plotting data
predicting effect of mutation on protein function
Predicting effect of mutation on structure
Preprocessing
Problem Based Learning
programming
protein family characterisation
Protein family classification
protein family databases
Protein family hierarchies
Protein function annotationx
Protein identification
protein sequence analysis
Protein sequence databasesx
protein structure
Protein structure analysisx
Protein structure databases
Protein structure visualisation
Protein structures
protein-protein interaction networks
Proteins
psi-blast
python
Python for Biologists
QC of NGS data
QTL
Quality Assurance
R
R Programming
Reactome
record parsing
Review of R
RNA-seq
RNA-seq alignment
RNASeq
Scoring matrices
Sequence alignment
Sequence analysis
Sequence database searchingx
Sequence similarity searching
Similarity searching
Software
Standards
structural variations
structures
Systems
Teaching Aid
test
The UniProt Knowledgebase
The UniProtKB flat-file formatx
Train the trainer
trainer skills
training
Training portal
Training technique
Transcript isoforms
Transcription factors
transcriptional regulation
Transript expression
Uni
unix
Unix/Linux
upgma
Variant calling
Variant detection
Velvet
Visual aid
visualisation

Keywords

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