Training materials
Keywords: data life cycle - share or genes and genomes
and Authors: Erik Hjerde or Manuel Corpas or SIB Swiss Institute of Bioinformatics or stortebecker
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Introduction to Viral Bioinformatics
• beginnergenes and genomes infectious disease medicine and health services and resources training -
Biodiversity bioinformatics: from large-scale phylogenomics to gene families and functions
• beginnerbiodiversity non model organisms evolution and phylogeny genes and genomes comparative genomics evolutionary biology training marc robinson-rechavi group robert waterhouse group christophe dessimoz group -
Using ASAP for Single-Cell Analysis
• beginnergenes and genomes biomarkers experimental biology functional genomics next generation sequencing population genomics single-cell biology training transcriptomics bart deplancke group -
NGS - Quality Control, Alignment, Visualisation
• beginnertraining genes and genomes next generation sequencing environmental science medicine and health -
Introduction to bulk RNA-Seq: From Quality Control to Pathway Analysis
• beginnerfunctional genomics genes and genomes next generation sequencing transcriptomics training -
Long-read Sequence Analysis
• beginnertraining genes and genomes next generation sequencing environmental science medicine and health rémy bruggmann group -
Gene Expression made Useful Easily: Tools and Database of Bgee
• beginnerBgee genes and genomes evolution and phylogeny services and resources comparative genomics database curation data management data visualisation transcriptomics training marc robinson-rechavi group -
Discover ViralZone
• beginnergenes and genomes infectious disease medicine and health services and resources training alan bridge group -
Slides
Data Management Planning workshop for new Life Science Projects
• beginnerData management Deposition Data handling Data retrieval data management plan NeLS TSD metadata sensitive data publication data protection storage identifiers DMP licensing Compliance data life cycle - collect data life cycle - reuse data life cycle - analyse data life cycle - process data life cycle - preserve data life cycle - share data life cycle - plan