PSLS22 Practical Statistics for the Life Sciences
This intermediate level course is one of our Foundations courses. It covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences. The course positions applied statistics, starting from important aspects of experimental design and data...
PSLS22 Practical Statistics for the Life Sciences
https://gtpb.github.io/PSLS22/
http://tess.elixir-uk.org/materials/psls22-practical-statistics-for-the-life-sciences
This intermediate level course is one of our Foundations courses. It covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences. The course positions applied statistics, starting from important aspects of experimental design and data exploration. We then move into statistical modeling and data analysis. We will focus on the link between linear regression and analysis of variance. Together, these methods contribute to the study of General Linear Models. The course also introduces the basics of non-parametric testing, and addresses categorical data analysis and logistic regression.
Lieven Clement
Milan Malfait
Jeroen Gilis
Graduate students
All postgraduates
PGDH19 - Population Genetics Demographic History: model-based approaches (2019)
Training material for a hands-on course with a practical approach in the analysis of genetic and genomic data.
Keywords: Population Genomics, Phylogenetics
Resource type: Documentation, Exercise, Handout, Scripts
PGDH19 - Population Genetics Demographic History: model-based approaches (2019)
https://gtpb.github.io/PGDH19/
http://tess.elixir-uk.org/materials/pgdh19-population-genetics-demographic-history-model-based-approaches-2019
Training material for a hands-on course with a practical approach in the analysis of genetic and genomic data.
The Gulbenkian Training Programme in Bioinformatics
Mark Beaumont
Lounès Chikhi
Willy Rodriguez
Vitor Sousa
Armando Arredondo
Population Genomics, Phylogenetics
Academia/ Research Institution
Industry
Non-Profit Organisation
PDA19 - Proteomics Data Analysis (2019)
Training material that covers the concepts and methods of Mass spectrometry-based proteomic experiments, covering peptide and protein identification, quantification, and differential analysis.
Keywords: Proteomics, Biological databases, Mass spectrometry data
Resource type: Documentation, Exercise, Handout, Scripts
PDA19 - Proteomics Data Analysis (2019)
https://gtpb.github.io/PDA19/
http://tess.elixir-uk.org/materials/pda19-proteomics-data-analysis-2019
Training material that covers the concepts and methods of Mass spectrometry-based proteomic experiments, covering peptide and protein identification, quantification, and differential analysis.
The Gulbenkian Training Programme in Bioinformatics
Lennart Martens
Harald Barsnes
Lieven Clement
Proteomics, Biological databases, Mass spectrometry data
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare
PDA18 - Proteomics Data Analysis (2018)
Training material that covers the concepts and methods of Mass spectrometry-based proteomic experiments, covering peptide and protein identification, quantification, and differential analysis.
Keywords: Proteomics, Biological databases, Mass spectrometry data
Resource type: Documentation, Exercise, Handout, Scripts
PDA18 - Proteomics Data Analysis (2018)
https://gtpb.github.io/PDA18/
http://tess.elixir-uk.org/materials/pda18-proteomics-data-analysis-2018
Training material that covers the concepts and methods of Mass spectrometry-based proteomic experiments, covering peptide and protein identification, quantification, and differential analysis.
The Gulbenkian Training Programme in Bioinformatics
Lennart Martens
Harald Barsnes
Lieven Clement
Proteomics, Biological databases, Mass spectrometry data
Academia/ Research Institution
Industry
Non-Profit Organisation
Healthcare
PGDH18 - Population Genetics and Demographic History: model-based approaches (2018)
Training material for hands-on course with a practical approach in the analysis of genetic and genomic data.
Keywords: Population Genomics, Phylogenetics
Resource type: Documentation, Exercise, Handout, Scripts
PGDH18 - Population Genetics and Demographic History: model-based approaches (2018)
https://gtpb.github.io/PGDH18/
http://tess.elixir-uk.org/materials/pgdh18-population-genetics-and-demographic-history-model-based-approaches-2018
Training material for hands-on course with a practical approach in the analysis of genetic and genomic data.
The Gulbenkian Training Programme in Bioinformatics
Mark Beaumont
Lounès Chikhi
Willy Rodríguez
Armando Arredondo Soto
Vitor Sousa
Population Genomics, Phylogenetics
Academia/ Research Institution
Industry
Non-Profit Organisation
PSLS20 - Practical Statistics for the Life Sciences (2020)
Training material that covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences.
Keywords: Statistics, General Linear Models
Resource type: Documentation, Exercise, Handout, Scripts
PSLS20 - Practical Statistics for the Life Sciences (2020)
https://gtpb.github.io/PSLS20
http://tess.elixir-uk.org/materials/psls20-practical-statistics-for-the-life-sciences-2020
Training material that covers essential statistical concepts and methods for extracting insights from empirical data in the life sciences.
The Gulbenkian Training Programme in Bioinformatics
Lieven Clement
Jeroen Gilis
Statistics, General Linear Models
Academia/ Research Institution
Industry
Healthcare
Non-Profit Organisation
Bioinformatics Summer School 2019
This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are...
Scientific topics: Statistics and probability, Omics, RNA-Seq, Proteomics
Operations: Data handling
Bioinformatics Summer School 2019
https://uclouvain-cbio.github.io/BSS2019/#schedule
http://tess.elixir-uk.org/materials/bioinformatics-summer-school-2019
This one-week intensive summer school in bioinformatics will focus on data analysis and high throughput biology, with a special focus on R/Bioconductor and its application to a wide range of topics across bioinformatics and computational biology. The course is intended for researchers who are familiar with omics experimental technologies and their applications in biology, have had some exposure with R, and who want to learn or expand their bioinformatics skills.
Martin Morgan
Laurent Gatto
Janick Mathys
Lieven Clement
Charlotte Soneson
Koen Van den Berge
Oliver Crook
Statistics and probability
Omics
RNA-Seq
Proteomics
PhD students
