Register training material
7 materials found

Related resources: Variant Analysis dataset  or Proteomics dataset 


Variant Analysis - Mapping and molecular identification of phenotype-causing mutations

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - What is mapping-by-sequencing? - How can it help you identify the causative mutation in phenotypic mutants isolated from genetic screens? Objectives of the tutorial: - Use joint...

Resource type: Tutorial

Variant Analysis - Mapping and molecular identification of phenotype-causing mutations https://tess.elixir-europe.org/materials/variant-analysis-mapping-by-sequencing Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - What is mapping-by-sequencing? - How can it help you identify the causative mutation in phenotypic mutants isolated from genetic screens? Objectives of the tutorial: - Use joint variant calling and extraction to facilitate variant comparison across samples - Perform variant linkage analyses for phenotypically selected recombinant progeny - Filter, annotate and report lists of variants
Variant Analysis - Calling variants in non-diploid systems

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How does frequency of mitochondrial polymorphisms change from mother to child? Objectives of the tutorial: - Using Galaxy's main site we will see how to call variants in bacteria,...

Resource type: Tutorial

Variant Analysis - Calling variants in non-diploid systems https://tess.elixir-europe.org/materials/variant-analysis-calling-variants-in-non-diploid-systems Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How does frequency of mitochondrial polymorphisms change from mother to child? Objectives of the tutorial: - Using Galaxy's main site we will see how to call variants in bacteria, viruses, and organelles.
Proteomics - Peptide and Protein ID using OpenMS tools

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.

Resource type: Tutorial

Proteomics - Peptide and Protein ID using OpenMS tools https://tess.elixir-europe.org/materials/proteomics-peptide-and-protein-id-using-openms-tools Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.
Variant Analysis - Exome sequencing data analysis

Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How to identify the genetic variation with the use of exome sequencing? - What is the pipeline of the process of finding genetic variation which caused the disease? Objectives of the...

Resource type: Tutorial

Variant Analysis - Exome sequencing data analysis https://tess.elixir-europe.org/materials/variant-analysis-exome-sequencing-data-analysis Exome sequencing means that all protein-coding genes in a genome are sequenced Questions of the tutorial: - How to identify the genetic variation with the use of exome sequencing? - What is the pipeline of the process of finding genetic variation which caused the disease? Objectives of the tutorial: - Identification of the genetic variation using the exome sequencing - Using FreeBayes calls for variants generating - Variant analysis and GEMINI queries
Proteomics - Peptide and Protein Quantification via Stable Isotope Labelling (SIL)

Training material for proteomics workflows in Galaxy Questions of the tutorial: - What are MS1 features? - How to quantify based on MS1 features? - How to map MS1 features to MS2 identifications? - How to evaluate and optimize the results? Objectives of the tutorial: - MS1 feature...

Resource type: Tutorial

Proteomics - Peptide and Protein Quantification via Stable Isotope Labelling (SIL) https://tess.elixir-europe.org/materials/proteomics-peptide-and-protein-quantification-via-stable-isotope-labelling-sil Training material for proteomics workflows in Galaxy Questions of the tutorial: - What are MS1 features? - How to quantify based on MS1 features? - How to map MS1 features to MS2 identifications? - How to evaluate and optimize the results? Objectives of the tutorial: - MS1 feature quantitation and mapping of quantitations to peptide and protein IDs.
Proteomics - Peptide and Protein ID using SearchGUI and PeptideShaker

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.

Resource type: Tutorial

Proteomics - Peptide and Protein ID using SearchGUI and PeptideShaker https://tess.elixir-europe.org/materials/proteomics-peptide-and-protein-id Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.
Proteomics - Secretome Prediction

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to predict cellular protein localization based upon GO-terms? - How to combine multiple localization predictions? Objectives of the tutorial: - Predict proteins in the cellular secretome by using...

Resource type: Tutorial

Proteomics - Secretome Prediction https://tess.elixir-europe.org/materials/proteomics-secretome-prediction Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to predict cellular protein localization based upon GO-terms? - How to combine multiple localization predictions? Objectives of the tutorial: - Predict proteins in the cellular secretome by using GO-terms. - Predict proteins in the cellular secretome by using WolfPSORT. - Combine the results of both predictions.