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44 materials found

Content provider: Coursera  or Swiss Institute of Bioinfor... 


Expanding the SPHN RDF Schema

Expanding the SPHN RDF Schema is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science

Operations: Editing, Ontology visualisation, Visualisation, Data handling

Keywords: Clinical data, Data semantics, FAIR, Ontology editing, Protegé, RDF, OWL

Resource type: Video, Training materials, E-learning

Training Primer (RDF and SPARQL)

The RDF and SPARQL training primer was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

Scientific topics: Computer science, Data management, FAIR data, Medical informatics, Ontology and terminology

Operations: Query and retrieval, Database search, Data handling, Data retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Triplestore, Ontology

Resource type: Video, Training materials, E-learning

Semantic Standards

This video was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and serves as an introduction to the main standards used within the [SPHN Interoperability...

Scientific topics: Ontology and terminology, Medical informatics, FAIR data, Data management, Computer science

Operations: Standardisation and normalisation, Data handling

Keywords: Clinical data, Data semantics, FAIR, Standards, Ontology, SNOMED CT, LOINC, ATC, CHOP, ICD

Resource type: Video, Training materials, E-learning

RDF Schema and Data Visualization

RDF Schema and Data Visualization is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

Scientific topics: Data visualisation, Medical informatics, FAIR data, Data management, Computer science

Operations: Ontology visualisation, Visualisation, Data retrieval, Data handling, Query and retrieval

Keywords: Clinical data, SPARQL, Data visualization, RDF, Knowledge graph, GraphDB, Mock data

Resource type: Video, Training materials, Mock data, E-learning

Validate Graph Data with SHACL

Validate Graph Data with SHACL is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

Scientific topics: Computer science, Data management, FAIR data, Medical informatics

Operations: Data handling, Validation

Keywords: Clinical data, SHACL, Data validation, RDF, Knowledge graph, GraphDB, RDF, RDF graph validation

Resource type: Video, Training materials, E-learning

How to use Python and R with RDF Data

How to use Python and R with RDF Data is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centred around the [SPHN Interoperability...

Scientific topics: Medical informatics, FAIR data, Data management, Computer science

Operations: Data retrieval, Data handling, Query and retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, Python, R, GraphDB

Resource type: Video, Training materials, Mock data, E-learning

Cellosaurus : A resource on cell lines

No description provided.

Querying Data with SPARQL

Querying Data with SPARQL is a training that was developed in the context of the Swiss Personalized Health Network (SPHN) initiative and is part of a series of trainings centered around the [SPHN Interoperability...

Scientific topics: Computer science, Data management, FAIR data, Medical informatics

Operations: Query and retrieval, Database search, Data handling, Data retrieval

Keywords: Clinical data, SPARQL, Query data, RDF, Knowledge graph, SNOMED CT, LOINC

Resource type: Video, Training materials with mock data, E-learning

SARS-CoV-2 : Studying a new virus

No description provided.

neXtProt : Exploring human proteins

No description provided.

Using bioinformatics to hunt SARS-CoV-2, its variants & its origins – a practical guide

This Practical Guide outlines basic bioinformatics approaches for exploring the SARS-CoV-2 genome and its corresponding proteins, focusing on the protein exposed on the viral particle surface: the spike protein. The ways in which bioinformatics can be harnessed to study a new virus, its genome,...

Keywords: Bioinformatics for schools, basic bioinformatics, SARS-CoV-2 pandemic, genome analysis, protein sequence analysis, protein structure analysis, virus variants, spike protein, training material

Resource type: Training materials

Access Bioinformatics Databases with Biopython

In this 1-hour long project-based course, you will learn how to access, parse, and visualize data from various bioinformatics sequence and structural online databases such as ENTREZ, PDB, KEGG and NCBI using Biopython.
You will also interact with various bioinformatics file formats such as FASTA,...

Keywords: data-science, life-sciences, data-analysis, health-informatics

Bacterial Bioinformatics

This course provides demonstrations and exercises for performing common genomics-based analysis tasks of bacterial sequence data. It uses PATRIC, the PathoSystems Resource Integration Center, as the platform for analysis. PATRIC is the NIH/NIAID-funded bacterial Bioinformatics Resource Center,...

Keywords: life-sciences, health-informatics, research

Plant Bioinformatics Capstone

The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply...

Keywords: physical-science-and-engineering, life-sciences, research-methods, basic-science

How to use V-pipe (SARS-CoV-2 data)

This tutorial demonstrate how to use V-pipe - Bioinformatics pipeline for the analysis of next-generation sequencing data derived from intra-host viral populations.

For the purpose of this toturial, we use the sars-cov2 branch of V-pipe and analyse SARS-CoV-2 runs downloaded from NCBI SRA.

Scientific topics: Workflows, Genetic variation, Virology

Operations: Read pre-processing, Alignment, Variant calling

Keywords: coronavirus, NGS bioinformatics, Variant-calling

Resource type: Computer Software, workflow

Querying SIB resources with SPARQL

No description provided.

BLAST and multiple sequence alignment (MSA) programs

Background
The rapid identification of pathogens infecting livestock is essential to appropriately respond to the threat. The number and the variety of pathogen sequenced genomes have been growing more dramatically these recent years, because of the new sequencing technologies. This wealth of...

Keywords: Blast, E learning, Multiple sequence alignment

Resource type: e-learning

Phylogenetics of animal viral pathogens

Background
The vast diversity of the pathogens affecting livestock demands a very specific diagnostic procedure in identification and characterization of each pathogen. In this context, the enormous amount of sequence and genotype data is being generated on animal pathogens, which is further...

Keywords: Animal pathogens, E learning, Phylogenetics

Resource type: e-learning

Research Data Management and Sharing

This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management...

Scientific topics: Data management

Resource type: e-learning

High Performance Computing (HPC) in Life Sciences

High-throughput sequencing data analysis requires new technical competencies and HPC is one of them. SIB has developed an e-learning module in HPC, as part of the ELIXIR-EXCELERATE project. e-learning has the potential to reach a wider audience, in any location and any time, and can be used...

Scientific topics: Biology, Bioinformatics, Computer science

Keywords: High performance computing, high-performance computing

Resource type: Tutorial, Slideshow, e-learning

Plant Bioinformatics

The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply...

Keywords: life-sciences, physical-science-and-engineering, health-informatics, research-methods

Big Data, Genes, and Medicine

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to...

Keywords: life-sciences, computer-science, bioinformatics, algorithms

UNIX Fundamentals

This self-learning tutorial aims to present the UNIX environment and to provide the most basic commands to users with no or very little UNIX knowledge.
The examples are taken from various Biological fields but have been chosen carefully to be easily accessible to a wide audience.
At the end of...

Keywords: Problem based learning, Programming, Unix

Resource type: e-learning

Bioinformatics: Life Sciences on Your Computer

What makes bioinformatics education exciting is that people of a variety of education levels can get started quickly, with just a computer and internet access.

Keywords: life-sciences, bioinformatics

Bioinformatic Methods II

Large-scale biology projects such as the sequencing of the human genome and gene expression surveys using RNA-seq, microarrays and other technologies have created a wealth of data for biologists. However, the challenge facing scientists is analyzing and even accessing these data to extract useful...

Keywords: life-sciences, bioinformatics