Materials - TeSS (Training eSupport System)

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- Scientific topic
- Targeted proteomics
- Data management226
- Metadata management226
- Research data management (RDM)226
- Genome annotation219
- Exomes198
- Genomes198
- Genomics198
- Personal genomics198
- Synthetic genomics198
- Viral genomics198
- Whole genomes198
- Comparative transcriptomics186
- Transcriptome186
- Transcriptomics186
- FAIR data160
- Findable, accessible, interoperable, reusable data160
- R150
- R program150
- R script150
- Bayesian methods128
- Biostatistics128
- Descriptive statistics128
- Gaussian processes128
- Inferential statistics128
- Markov processes128
- Multivariate statistics128
- Probabilistic graphical model128
- Probability128
- Statistics128
- Statistics and probability128
- MicroRNA sequencing125
- RNA sequencing125
- RNA-Seq125
- RNA-Seq analysis125
- Small RNA sequencing125
- Small RNA-Seq125
- Small-Seq125
- Transcriptome profiling125
- WTSS125
- Whole transcriptome shotgun sequencing125
- miRNA-seq125
- Algorithms121
- Computer programming121
- Data structures121
- Programming languages121
- Software development121
- Software engineering121
- Chromosome walking106
- Clone verification106
- DNA-Seq106
- DNase-Seq106
- High throughput sequencing106
- High-throughput sequencing106
- NGS106
- NGS data analysis106
- Next gen sequencing106
- Next generation sequencing106
- Panels106
- Primer walking106
- Sanger sequencing106
- Sequencing106
- Targeted next-generation sequencing panels106
- Active learning88
- Ensembl learning88
- Kernel methods88
- Knowledge representation88
- Machine learning88
- Neural networks88
- Recommender system88
- Reinforcement learning88
- Supervised learning88
- Unsupervised learning88
- Bioinformatics85
- Metagenomics80
- Shotgun metagenomics80
- Python75
- Python program75
- Python script75
- py75
- Biodiversity69
- Bottom-up proteomics62
- Discovery proteomics62
- MS-based targeted proteomics62
- MS-based untargeted proteomics62
- Metaproteomics62
- Peptide identification62
- Protein and peptide identification62
- Proteomics62
- Quantitative proteomics62
- Top-down proteomics62
- Single-cell genomics60
- Single-cell sequencing60
- Data rendering59
- Data visualisation59
- Antimicrobial stewardship56
- Medical microbiology56
- Microbial genetics56
- Microbial physiology56
- Microbial surveillance56
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- Operation
- Data handling1
- File handling1
- File processing1
- Processing1
- Report handling1
- Utility operation1
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- Tool
- Galaxy33
- msConvert5
- MaxQuant4
- MSstats3
- BLAST2
- Biopython2
- FreeBayes2
- HISAT22
- StringTie2
- UniProt2
- bed to protein map2
- customProDB2
- gffcompare2
- metaQuantome2
- Cardinal1
- Cytoscape1
- DISEASES1
- Data Stewardship Wizard1
- EncyclopeDIA1
- FlashLFQ1
- MSstatsTMT1
- OptiType1
- RDMkit1
- STAR1
- STITCH1
- STRING1
- Seq2HLA1
- The Immune Epitope Database (IEDB)1
- Unipept1
- WoLF PSORT1
- compareMS21
- diaPASEF1
- ggplot21
- multiGSEA1
- mzToSQLite1
- scp1
- stringApp1
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- Standard database or policy
- European Nucleotide Archive1
- FAIRsharing1
- PRoteomics IDEntifications database1
- RDA DMP Common Standard for Machine-Actionable Data Management Plans1
- STRING: functional protein association networks1
- Search Tool for Interactions of Chemicals1
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- Content provider
- GTN37
- Glittr.org9
- European Bioinformatics Institute (EBI)7
- VIB Training & Conferences2
- Australian BioCommons1
- ELIXIR Norway1
- ELIXIR: The Czech Republic Node1
- Novo Nordisk Foundation Center for Protein Research1
- UCLouvain Bioinformatics Platform1
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- Keyword
- Proteomics46
- DDA9
- label-free9
- DIA4
- R4
- microgalaxy4
- human3
- proteogenomics3
- proteomics3
- HeLa2
- transcriptomics2
- Data Life Cycle1
- Data Management Plan1
- Data Steward1
- Data Stewardship Wizard1
- Data management planning1
- EeLP1
- Galaxy1
- Introduction1
- ML1
- Machine learning1
- Next generation sequencing1
- Phosphoproteomics1
- Protein Mass Spectrometry1
- Protein identification1
- Proteomes1
- Python1
- RNA-seq1
- Research Data Management1
- Research Infrastructure1
- SILAC1
- Spatial omics1
- TMT1
- Transcriptomics1
- cancer1
- eLearning1
- imaging1
- metabolomics1
- mouse1
- multi-omics1
- multi-omics data integration1
- quantitative proteomics1
- single-cell transcriptomics1
- training1
- work-in-progress1
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- Competency level
- Beginner24
- Not specified19
- Intermediate17
- Advanced2
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- Licence
- Creative Commons Attribution 4.0 International40
- License Not Specified17
- Creative Commons Attribution Share Alike 4.0 International3
- Creative Commons Attribution Non Commercial No Derivatives 4.0 International1
- MIT License1
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- Target audience
- Students38
- PhD students4
- Bioinformaticians3
- Clinicians3
- Biologists2
- bioinformaticians2
- biologists2
- Biochemists1
- Bioinformatician, Bioanalysts1
- Data Managers1
- Data Scientists1
- Data stewards1
- Life Science Researchers1
- Life Scientists1
- PhD Scholars, Graduates and Post Graduates, Professors, Associate Professors, Assistant Professors, Bio instruments Professionals, Bio-informatics Professionals, Directors, CEO’s of Organizations, Supply Chain companies, Manufacturing Companies, Software development companies, Research Institutes and members1
- PhD Students1
- PhD candidates1
- PhD students in Genomics datascience1
- Principal Investigators1
- Principal Investigators (PIs)1
- Researchers1
- life scientists1
- mass spectrometry1
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- Author
- Subina Mehta15
- James Johnson12
- Björn Grüning9
- Melanie Föll9
- Matthias Fahrner8
- Pratik Jagtap8
- Timothy J. Griffin8
- Florian Christoph Sigloch7
- Katherine Do7
- Praveen Kumar5
- Emma Leith4
- Marie Crane3
- Ray Sajulga3
- The Gulbenkian Training Programme in Bioinformatics3
- Computational Biology and Bioinformatics at UCLouvain2
- Daniel Blankenberg2
- David Christiany2
- Florence Combes2
- Jayadev Joshi2
- Valentin Loux2
- Yves Vandenbrouck2
- Andrea Argentini1
- Clemens Blank1
- Delphine Lariviere1
- Espen Åberg1
- Federico Bianchini1
- Frederik Coppens1
- Hana Pergl Sustkova1
- Health Data Science Sandbox1
- Helen V. Cook1
- Helge Hecht1
- Illimar Rekand1
- Klemens Fröhlich1
- Korbinian Bösl1
- Kristina Gomoryova1
- Lars Juhl Jensen1
- Lennart Martens1
- Lieven Clement1
- Magnus Palmblad1
- Marek Vrbacky1
- Martin Hubalek1
- Matrix Science Ltd1
- Matthias Bernt1
- Melanie Foell1
- Nadezhda T. Doncheva1
- Nazeefa Fatima1
- Pavel Dvorak1
- PickyBinders1
- Thorben Stehling1
- bioinformatics.ca1
- statOmics1
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- Contributor
- Saskia Hiltemann34
- Björn Grüning28
- Melanie Föll27
- Subina Mehta24
- Helena Rasche19
- Bérénice Batut14
- Nicola Soranzo13
- Armin Dadras8
- Martin Čech8
- Niall Beard8
- Pratik Jagtap8
- Katherine Do7
- Timothy J. Griffin7
- Florian Christoph Sigloch6
- William Durand5
- Clemens Blank4
- Laurent Gatto3
- Mallory Freeberg3
- Pavankumar Videm3
- The Gulbenkian Training Programme in Bioinformatics3
- lievenclement3
- Florence Combes2
- Jayadev Joshi2
- Matthias Fahrner2
- Veit Schwämmle2
- Amirhossein Naghsh Nilchi1
- Andrea Argentini1
- Anthony Bretaudeau1
- Anton Nekrutenko1
- Axelle Loriot1
- Benjamin Neely1
- Canadian Bioinformatics Workshops1
- Charlotte Soneson1
- Cristóbal Gallardo1
- David Bouyssié1
- Frederik Coppens1
- Hana Pergl Sustkova1
- Helge Hecht1
- Jacob Fredegaard Hansen1
- James Johnson1
- Janick Mathys1
- Jay1
- John "Scooter" Morris1
- JulieDevis1
- Koen Van den Berge1
- Kristina Gomoryova1
- Lev Levitsky1
- Lieven Clement1
- Lucille Delisle1
- Manon Martin1
- Marc Vaudel1
- Marek Vrbacky1
- Martin Hubalek1
- Martin Morgan1
- Melanie Foell1
- Mélanie Petera1
- Oliver Crook1
- Pavel Dvorak1
- Pedro L Fernandes1
- Rob Marissen1
- Samuele Soraggi1
- Wolfgang Maier1
- npinter1
- phusen1
- skringe1
- zhibinlu1
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- Resource type
- e-learning38
- Recorded webinar4
- slides4
- Slides3
- Training materials2
- R Shiny application1
- Video1
- course materials1
- scripts1
- tutorial1
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- Related resource
- Associated Training Datasets29
- Associated Workflows26
- compareMS21
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- Node
- Switzerland9
- EMBL-EBI7
- Belgium3
- Czech Republic1
- Denmark1
- Germany1
- Netherlands1
- Norway1
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- Status
- Active4
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Scientific topics: Targeted proteomics

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