TeSS (Training eSupport System)

Filter Clear filters
- Date added
- In the last 24 hours
- In the last 1 week
- In the last 1 month
- Scientific topic
- Bayesian methods
- Data management234
- Metadata management234
- Research data management (RDM)234
- Genome annotation230
- Exomes208
- Genomes208
- Genomics208
- Personal genomics208
- Synthetic genomics208
- Viral genomics208
- Whole genomes208
- Comparative transcriptomics191
- Transcriptome191
- Transcriptomics191
- MicroRNA sequencing173
- RNA sequencing173
- RNA-Seq173
- RNA-Seq analysis173
- Small RNA sequencing173
- Small RNA-Seq173
- Small-Seq173
- Transcriptome profiling173
- WTSS173
- Whole transcriptome shotgun sequencing173
- miRNA-seq173
- FAIR data164
- Findable, accessible, interoperable, reusable data164
- R153
- R program153
- R script153
- Biostatistics148
- Descriptive statistics148
- Gaussian processes148
- Inferential statistics148
- Markov processes148
- Multivariate statistics148
- Probabilistic graphical model148
- Probability148
- Statistics148
- Statistics and probability148
- Algorithms129
- Computer programming129
- Data structures129
- Programming languages129
- Software development129
- Software engineering129
- High-throughput sequencing116
- Chromosome walking115
- Clone verification115
- DNA-Seq115
- DNase-Seq115
- High throughput sequencing115
- NGS115
- NGS data analysis115
- Next gen sequencing115
- Next generation sequencing115
- Panels115
- Primer walking115
- Sanger sequencing115
- Sequencing115
- Targeted next-generation sequencing panels115
- Active learning91
- Ensembl learning91
- Kernel methods91
- Knowledge representation91
- Machine learning91
- Neural networks91
- Recommender system91
- Reinforcement learning91
- Supervised learning91
- Unsupervised learning91
- Bioinformatics90
- Metagenomics80
- Shotgun metagenomics80
- Python78
- Python program78
- Python script78
- py78
- Bottom-up proteomics75
- Discovery proteomics75
- MS-based targeted proteomics75
- MS-based untargeted proteomics75
- Metaproteomics75
- Peptide identification75
- Protein and peptide identification75
- Proteomics75
- Quantitative proteomics75
- Targeted proteomics75
- Top-down proteomics75
- Biodiversity69
- Single-cell genomics62
- Single-cell sequencing62
- Data rendering61
- Data visualisation61
- Antimicrobial stewardship56
- Medical microbiology56
- Microbial genetics56
- Microbial physiology56
- Microbial surveillance56
- Show N_FILTERS more
- Operation
- Data handling1
- File handling1
- File processing1
- Processing1
- Report handling1
- Utility operation1
- Show N_FILTERS more
- Tool
- Galaxy34
- scikit-learn16
- Bioconductor14
- GEMINI1
- IWTomics1
- PubMed1
- Show N_FILTERS more
- Content provider
- Glittr.org71
- GTN46
- Bioconductor14
- ERGA Knowledge Hub3
- European Bioinformatics Institute (EBI)3
- Bioinformatics and Biomathematics Training Hub2
- VIB Training & Conferences2
- ELIXIR Estonia1
- ELIXIR-SI eLearning Platform (EeLP)1
- GOBLET1
- NGS Registry1
- UCLouvain Bioinformatics Platform1
- VIB Bioinformatics Core1
- Show N_FILTERS more
- Keyword
- Statistics76
- Statistics and machine learning45
- R42
- Machine learning16
- Data science13
- ai-ml11
- elixir11
- Python10
- jupyter-notebook9
- Data visualization6
- RNA-seq6
- Genomics5
- Large Language Model5
- General4
- Single-cell sequencing4
- Transcriptomics4
- interactive-tools4
- work-in-progress4
- Next generation sequencing3
- Version control3
- Biostatistics2
- Pathways and Networks2
- Reproducibility2
- Unix/Linux2
- Variant analysis2
- deep-learning2
- jupyter-lab2
- machine-learning2
- statistics2
- ATAC-seq1
- Artificial intelligence1
- Automated testing1
- Babraham Institute1
- Data management1
- Deep Learning1
- Digital Humanities1
- EeLP1
- GLEAM1
- HAM10000 Dataset1
- HANCOCK Dataset1
- Health Services1
- Image Classification1
- Image Learner1
- JIC1
- John Innes Centre1
- LORIS Score Model1
- Linux1
- Machine Learning1
- Multimodal Learning1
- Multiomics1
- Open Access1
- Open Science1
- Open Source Software1
- Open access1
- Open source code1
- Pan-cancer1
- Phylogenetics / Phylogenomics1
- Python for Data Analysis1
- Quarto1
- R Programming1
- R-programming1
- RAP1
- Recurrence Prediction1
- Reproducible Analytical Pipeline1
- Reproducible Environment1
- Reproducible Research1
- Reproducible Science1
- Rmarkdown1
- SimPy1
- Simulation1
- Skin Lesion Classification1
- Spatial transcriptomics1
- Statistical tests1
- Tabular Learner1
- Unix1
- Workflows1
- biostatistics1
- cancer biomarkers1
- dephosphorylation-site-prediction1
- discrete-event simulation1
- eLearning1
- fine-tuning1
- image-segmentation1
- machine learning1
- microbial ecosystems1
- microbiome1
- oncogenes and tumor suppressor genes1
- protein-3D-structure1
- reproduce1
- reproducible research1
- simmer1
- text mining1
- Show N_FILTERS more
- Competency level
- Not specified94
- Beginner36
- Intermediate18
- Show N_FILTERS more
- Licence
- License Not Specified66
- Creative Commons Attribution 4.0 International52
- MIT License12
- Creative Commons Zero v1.0 Universal6
- Creative Commons Attribution Share Alike 4.0 International4
- GNU General Public License v3.0 only3
- Apache License 2.02
- Creative Commons Attribution Non Commercial No Derivatives 4.0 International1
- Other (Non-Commercial)1
- Other (Not Open)1
- Show N_FILTERS more
- Target audience
- Students46
- PhD students4
- Clinicians2
- Life Science Researchers2
- biologists2
- Analysts1
- Any students, postdocs or RAs who have an interest in bioinformatics and who intend to carry out statistical analysis of their experimental data using R. This two day course is planned to be a very gentle introduction to the very basic concepts of R.1
- Beginners in statistics1
- Postgraduate students1
- Research Software Engineers1
- Researchers1
- Trainers1
- Training Designers1
- Training instructors1
- beginner bioinformaticians1
- post-docs1
- statisticians1
- Show N_FILTERS more
- Author
- Anup Kumar11
- Kaivan Kamali8
- SIB Swiss Institute of Bioinformatics8
- Bérénice Batut6
- Jeremy Goecks6
- Junhao Qiu6
- Paulo Cilas Morais Lyra Junior6
- Raphael Mourad6
- Wolfgang Huber5
- Alireza Khanteymoori4
- Amirhossein Naghsh Nilchi4
- Björn Grüning4
- Khai Van Dang4
- The Carpentries Incubator4
- The Gulbenkian Training Programme in Bioinformatics4
- CRUK CI Bioinformatics Core3
- Levi Waldron3
- Richard McElreath3
- Allen Downey2
- Alyssa Pybus2
- Daniel Blankenberg2
- David Dalpiaz2
- Fabio Cumbo2
- Fotis E. Psomopoulos2
- Janick Mathys2
- Oslo Centre for Biostatistics and Epidemiology2
- Ralf Gabriels2
- Simon Bray2
- Wandrille Duchemin2
- A. Solomon Kurz1
- Aedin Culhane1
- Amy Heather1
- András Aszódi1
- Anne Segonds-Pichon1
- C. Li1
- Canadian Bioinformatics Workshops1
- Causal Inference in R1
- Computational Biology and Bioinformatics at UCLouvain1
- Daniel Kaplan1
- Daniela Schneider1
- Danielle Navarro1
- Dennis Lal group1
- ELIXIR Estonia1
- Ekaterina Polkh1
- Emil Hvitfeldt1
- Fotis Psomopoulos1
- G. Jay Kerns1
- Jacqueline Buros1
- Jacques van Helden1
- Keith McNulty1
- Leo Lahti1
- Marie Gramm1
- Marilin Moor1
- Marzia A Cremona1
- Matthew B. Jané1
- Michael Love1
- Michael Pyrcz1
- ModernDive1
- Mojtaba Barzegari1
- Monash Data Fluency1
- Måns Thulin1
- NBIS - National Bioinformatics Infrastructure Sweden1
- Neuromatch Academy1
- Norm Matloff1
- OpenIntro1
- Oscar Baruffa1
- PAIR code1
- Pablo Casas1
- Pachter Lab1
- Paul Roback1
- Polina Polunina1
- RStudio Education1
- Reusable and Reproducible Healthcare Simulations in Python and R1
- Robert Gentleman1
- Simon Anders1
- Stella Fragkouli1
- Stephanie Hicks1
- Stephen Turner1
- Surgical Informatics1
- Sébastien Wieckowski1
- Teaching materials at the Harvard Chan Bioinformatics Core1
- The John Innes Centre1
- UC Davis Bioinformatics Core Training Page1
- Unknown1
- Vijay1
- Vincent Carey1
- bioinformatics.ca1
- bougioukas1
- cambiotraining1
- fast.ai1
- gladstone-institutes1
- posit-conf-20231
- robinsonlabuzh1
- second scight1
- Show N_FILTERS more
- Contributor
- Saskia Hiltemann33
- Björn Grüning28
- Anup Kumar27
- Helena Rasche19
- Bérénice Batut16
- Martin Čech15
- Armin Dadras11
- Teresa Müller9
- Kaivan Kamali8
- Paulo Cilas Morais Lyra Junior6
- Alireza Khanteymoori5
- Fabio Cumbo5
- Wandrille Duchemin5
- olisand5
- Amirhossein Naghsh Nilchi4
- The Gulbenkian Training Programme in Bioinformatics4
- Wandrille D.4
- Mark Dunning3
- Mark Fernandes3
- Rachel Marcone3
- Richard McElreath3
- Toby Hodges3
- Adejumo Ridwan Suleiman2
- Ailith Ewing2
- Alan O'Callaghan2
- Allen Downey2
- Annajiat Alim Rasel2
- AshKernow2
- Benson Muite2
- Canadian Bioinformatics Workshops2
- Chandra Chilamakuri2
- Chi Zhang2
- Colin Sauze2
- Cristóbal Gallardo2
- David Dalpiaz2
- Delphine Lariviere2
- Emil Hvitfeldt2
- Gildas Le Corguillé2
- James J Balamuta2
- Junhao Qiu2
- Laurent Gatto2
- Matt Eldridge2
- Metehan GÜNGÖR2
- Michelle Terese Savage2
- Mine Cetinkaya-Rundel2
- Måns Thulin2
- Nate Coraor2
- Nathan Constantine-Cooke2
- Patricia Palagi2
- Simon Bray2
- Zhian N. Kamvar2
- actions-user2
- e-linc2
- lievenclement2
- qiagu2
- A. A. Noman Ansary1
- A. Solomon Kurz1
- Aalok Varma1
- Abby Cabunoc Mayes1
- Abraham Omorogbe1
- Adam Fleischhacker1
- Adam Pearce1
- Aedin Culhane1
- Aitor Gómez-Goiri1
- Alan T. Arnholt1
- Albert Lin1
- Albert Y. Kim1
- Aleksandra Nenadic1
- Alessandro Gentilini1
- Alex Whan1
- Alexander Pico1
- Alish Dipani1
- Alison Harper1
- Alison Presmanes Hill1
- Allen Lee1
- Allison Theobold1
- Alvaro Köhn-Luque1
- Aman Desai1
- Amir Khazaie1
- Amy Heather1
- Ana B1
- Ana Conrado1
- Anas1
- Anders Riutta1
- Andrei Paleyes1
- Andrew Bray1
- Andrew Heiss1
- Andrew Reid1
- Andrew Sanchez1
- Andrzej Romaniuk1
- Andy Boughton1
- Andy Coenen1
- Ann Kennedy1
- Anthony Bretaudeau1
- Anthony Gitter1
- Antoine Bichat1
- Ashish Bhayana1
- Ashish Kumar1
- Athena Akrami1
- Ayushi Agrawal1
- Show N_FILTERS more
- Resource type
- e-learning41
- slides10
- Training materials2
- Book1
- Coding1
- Computer Science1
- Computer Software1
- Course materials1
- Data Science1
- Documentation1
- E-Learning1
- E-learning1
- Education1
- Educational Resource1
- FREE online course1
- How-to guide1
- Jupyter notebook1
- Online material1
- Open educational resource1
- Programming1
- Recorded webinar1
- Tutorial1
- case studies1
- course materials1
- e-Learning1
- educational materials1
- examples1
- handbook1
- hands-on tutorial1
- knowledgebase1
- lessons1
- online course1
- online modules1
- online tutorial1
- tutorial1
- tutorials1
- workflow1
- Show N_FILTERS more
- Related resource
- Associated Training Datasets34
- Associated Workflows31
- Jupyter Notebook (with Solutions)11
- Jupyter Notebook (without Solutions)11
- Slides for Introduction to statistics with R 1
- Show N_FILTERS more
- Node
- Switzerland74
- Belgium4
- EMBL-EBI3
- United Kingdom3
- Estonia1
- Greece1
- Slovenia1
- Show N_FILTERS more
- Status
- Active4
- Show N_FILTERS more
Show materials from all spaces
Show disabled materials
Hide materials with broken links
Show archived materials

Training materials

Scientific topics: Bayesian methods

and Include broken links: true

148 materials found

Results per page:

Filter

Sort

Filter Clear filters

Training materials

OpenIntroStat/ims

AllenDowney/ThinkBayes

AllenDowney/ThinkStats2

pablo14/data-science-live-book

cambiotraining/corestats

GTPB/ABSTAT18

stephaniehicks/superwomen

sib-swiss/Data-analysis-in-practice

sib-swiss/multiomics-data-analysis-and-integration-training

GTPB/PSLS20