Register training material
3 materials found

Scientific topics: Toxicology  or Sequence alignment 


OpenRiskNet: Ontology Walkthrough and Workshop

Workshop of 1.5h where the eNanoMapper ontology and a few uses are discussed. The exercises walk the audience trough the principles, uses, and demonstrates how they can actively work with the ontology.

Scientific topics: Ontology and terminology, Toxicology

Resource type: Tutorial

OpenRiskNet: Ontology Walkthrough and Workshop http://tess.elixir-uk.org/materials/openrisknet-ontology-walkthrough-and-workshop Workshop of 1.5h where the eNanoMapper ontology and a few uses are discussed. The exercises walk the audience trough the principles, uses, and demonstrates how they can actively work with the ontology. Ontology and terminology Toxicology Biologists bioinformaticians Chemists
Adding nanomaterial data

This tutorial describes how nanomaterial data can be added to an eNanoMapper server using a RDF format.

Scientific topics: Database management, Toxicology

Keywords: nanotoxicology, enanomapper, resource description framework, ontology

Resource type: Tutorial

Adding nanomaterial data http://tess.elixir-uk.org/materials/adding-nanomaterial-data This tutorial describes how nanomaterial data can be added to an eNanoMapper server using a RDF format. Database management Toxicology nanotoxicology, enanomapper, resource description framework, ontology programmers data entering
Analysing Mapped Sequence Data with SeqMonk

SeqMonk is a program which can analyse large data sets of mapped genomic positions. It is most commonly used to work with data coming from high-throughput sequencing pipelines. The program allows you to view your reads against an annotated genome and to quantitate and filter your data to let...

Scientific topics: Sequence alignment

Keywords: Babraham Institute

Analysing Mapped Sequence Data with SeqMonk http://tess.elixir-uk.org/materials/analysing-mapped-sequence-data-with-seqmonk SeqMonk is a program which can analyse large data sets of mapped genomic positions. It is most commonly used to work with data coming from high-throughput sequencing pipelines. The program allows you to view your reads against an annotated genome and to quantitate and filter your data to let you identify regions of interest. It is a friendly way to explore and analysis very large datasets. This course provides an introduction to the main features of SeqMonk and will run through the anlaysis of a couple of different datasets to show what sort of analysis options it provides. Sequence alignment Babraham Institute