TeSS (Training eSupport System)

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- R149
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- Chromosome walking97
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- Breakend assembly38
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- Functional genome annotation33
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- Antimicrobial stewardship17
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- Operation
- Data handling9
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- V-pipe2
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- Ontology Lookup Service2
- Cellosaurus1
- ModelArchive1
- PRoteomics IDEntifications database1
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- Glittr.org814
- ERGA Knowledge Hub128
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- BY-COVID25
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- R297
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- Next generation sequencing113
- RNA-seq110
- Data management74
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- Unix/Linux60
- Single-cell sequencing59
- FAIR data57
- Reproducibility56
- Variant analysis48
- Data visualization47
- Version control47
- Genome assembly39
- General36
- Genome annotation34
- training30
- Long read sequencing26
- Metagenomics26
- Workflows26
- Containerization22
- FAIR21
- High performance computing21
- Shiny21
- Spatial transcriptomics21
- Docker18
- Microbiology18
- Nextflow18
- Comparative genomics17
- ChIP-seq16
- Artificial intelligence15
- Image analysis14
- Quarto14
- Epigenetics13
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- ATAC-seq12
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- Nagoya5
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- SARS-CoV-25
- alan bridge group5
- torsten schwede & thierry sengstag group5
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- Competency level
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- Artistic License 2.02
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- Target audience
- Bioinformaticians16
- Data Managers13
- Data Scientists13
- Research Scientists13
- Biomedical Researchers12
- Bench biologists5
- Researchers5
- Anyone wishing to use bioinformatics resources to find basic information about a virus.4
- Biologists4
- Laboratory technicians4
- Veterinarians4
- Biologists with little or no prior computational experience3
- Bioinformaticians, Biologists with little or no prior computational experience.2
- Ontologists2
- Trainers2
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- Training instructors2
- bioinformaticians2
- Anyone dealing with cell lines with no or little knowledge of the Cellosaurus resource.1
- Anyone who wants to become a good trainer or teacher1
- Anyone wishing to interpret graphs showing the progression of COVID-19.1
- Biologists, Genomicists, Computer Scientists1
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- Life Science Researchers1
- Life science researchers who are new to high performance computing1
- Life scientists with no or little knowledge of the ISMARA tool.1
- Life scientists, bioinformaticians and researchers who are familiar with writing Python code and core Python elements, and would like to use it in their daily data exploration and visualization tasks.1
- Operators, developers and managers of bioinformatics resources1
- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics.1
- PhD students1
- Postdocs and Staff members1
- Research scientists1
- Researcher in life sciences1
- Students1
- Students, postdocs, and researchers, from any scientific environment (academia, facilities, companies, etc.) interested in viral data, as well as anyone looking for virion and viral genome images for use in teaching or publications.1
- beginner bioinformaticians1
- biocurators1
- post-docs1
- statisticians1
- teachers1
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- Author
- SIB Swiss Institute of Bioinformatics107
- The Carpentries Incubator52
- bioinformatics.ca35
- NBIS - National Bioinformatics Infrastructure Sweden20
- posit-conf-202320
- The Gulbenkian Training Programme in Bioinformatics19
- UC Davis Bioinformatics Core Training Page18
- Data Carpentry17
- Teaching materials at the Harvard Chan Bioinformatics Core17
- posit::conf(2024)17
- Wandrille Duchemin15
- Monique Zahn14
- CRUK CI Bioinformatics Core13
- Personalized Health Informatics Group13
- Canadian Bioinformatics Workshops10
- Fred Hutch Data Science Lab10
- Geert van Geest10
- ELIXIR Estonia9
- rstudio::conf(2022)9
- Sundeep Agarwal8
- Biocore@CRG7
- Bioinformatics, Rockefeller University7
- Sergio Martínez Cuesta7
- Vasundra Touré7
- BU-ISCIII6
- Philippe Le Mercier6
- Robin Engler6
- Software Carpentry6
- VIB Training & Conferences6
- Deepak Tanwar5
- ELIXIR Europe Training5
- Hadley Wickham5
- Marie-Claude Blatter5
- MolSSI Education5
- The Carpentries Lab5
- Thuong Van Du Tran5
- cambiotraining5
- jhudsl5
- Alex's Lemonade Stand Foundation4
- BioNT Training4
- Computational Biology and Bioinformatics at UCLouvain4
- Elisabeth Gasteiger4
- Grégoire Rossier4
- Health Data Science Sandbox4
- Institut Français de Bioinformatique (IFB)4
- Markus Müller4
- RStudio4
- Rami Krispin4
- Ted Laderas4
- Vassilios Ioannidis4
- Waldron Lab at the CUNY SPH4
- coderefinery4
- Boas Pucker3
- C. Li3
- Frédéric Burdet3
- Joana Carlevaro3
- Joana Carlevaro Fita3
- Julien Roux3
- Lukas Weber3
- Mark Robinson3
- Philippe Lemercier3
- R Programming @ University of Cincinnati3
- RStudio Education3
- Rafael A Irizarry3
- Richard McElreath3
- Roger D. Peng3
- Sydney Informatics Hub3
- VIB Technologies: Training material and software projects3
- VIB Training & Conferences Program3
- Aedin Culhane2
- Allen Downey2
- Ana-Claudia Sima2
- Antonello Lobianco2
- BiGCaT, Department of Translational Genomics2
- Bioconductor2
- Bradley Boehmke2
- Bruno Rodrigues2
- Cloud-SPAN2
- Daniele Silvestro2
- David Dalpiaz2
- Davis Laboratory2
- Deepak Unni2
- ELIXIR-Norway Training2
- Emil Hvitfeldt2
- Firas Zemzem2
- Heinz Stockinger2
- Jake Vanderplas2
- James W. MacDonald2
- Jennifer (Jenny) Bryan2
- Jessica Lindvall2
- Joao Lourenço2
- Jose A Dianes2
- JuliaAcademy2
- Leiden Computational Biology Center2
- Marc Robinson-Rechavi2
- Martin Emons2
- Martin J Frigaard2
- Master of Environmental Data Science (MEDS) program2
- Melbourne Bioinformatics2
- Met Office2
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- Contributor
- Toby Hodges81
- François Michonneau68
- Erin Becker62
- Zhian N. Kamvar59
- Mine Cetinkaya-Rundel56
- Katrin Leinweber53
- Tracy Teal53
- Raniere Silva52
- W. Trevor King51
- maneesha51
- Andy Boughton50
- Katie Anne Mills47
- Maxim Belkin47
- Canadian Bioinformatics Workshops43
- David Pérez-Suárez43
- Gabriel A. Devenyi43
- Abby Cabunoc Mayes41
- EvanWill41
- Ian Lee41
- Jon Pipitone41
- Jonah Duckles41
- Michael Hansen41
- Piotr Banaszkiewicz41
- Brandon Curtis40
- David Mawdsley40
- Greg Wilson40
- Jemma Stachelek40
- Remi Rampin40
- Allen Lee39
- Andrew Sanchez39
- Michael R. Crusoe39
- James Allen38
- Jeff Oliver38
- Joel Nothman38
- Nick Young38
- Rémi Emonet38
- naught10138
- Rayna M Harris37
- William L. Close37
- Sarah Brown35
- Gerard Capes33
- Renato Alves30
- trk30
- Ana Conrado29
- Stephan Druskat29
- Christina K.28
- K.E. Koziar28
- Alex Whan27
- Paula Andrea Martinez26
- Michael Joseph25
- Anthony Gitter24
- Geert van Geest24
- João Rodrigues24
- Sarah Stevens22
- Robert Davey21
- actions-user21
- Henry Schreiner20
- Hilmar Lapp20
- The Gulbenkian Training Programme in Bioinformatics19
- Paola Prieto18
- C. Titus Brown17
- Aaron O'Leary16
- Annajiat Alim Rasel16
- Benson Muite16
- Will Gammerdinger16
- Hannah Lyman15
- Mark Fernandes15
- Meeta Mistry15
- Radhika Khetani15
- Trevor Bekolay15
- Bianca Peterson14
- Candace Savonen14
- John Blischak14
- Carrie Wright13
- Karen Word13
- Lex Nederbragt13
- Wolmar Nyberg Åkerström13
- jhudsl-robot13
- zhibinlu13
- Andrew Reid12
- Ethan White12
- JCSzamosi12
- Laurent Gatto12
- Mateusz Kuzak12
- Stéphane Guillou12
- Ariel Rokem11
- Hugo Tavares11
- Ivan Gonzalez11
- Jihe Liu11
- Karen Cranston11
- Kate Isaac11
- Kilian Lieret11
- Miguel Cardoso11
- Niclas Jareborg11
- Pete11
- Radovan Bast11
- Trevor Keller11
- Wandrille D.11
- Yihui Xie11
- Amy Brown10
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- Resource type
- e-learning20
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- Training materials9
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- Node
- Switzerland
- EMBL-EBI508
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- Collection
- Elements of Data Management5
- SARS-CoV-2 : Studying a new virus5
- PINK project4
- ELIXIR Biodiversity Community1
- HemaFAIR Training: Applying FAIR Principles in Hematology Research1
- Impact of research infrastructures1
- VIP138 SLOT Online Terbaik saat ini di Indonesia1
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- Active32
- Archived2
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Training materials

Node: Switzerland

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1084 materials found

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posit-dev/py-shiny-workshop

PickyBinders/geometric-learning-protein-structures-course

Interoperable File Formats

mthulin/mswr-book

mdsr-book/mdsr-book.github.io

rdpeng/artofdatascience

CerebralMastication/R-Cookbook

EdwinTh/ADSwR

unbalancedparentheses/data_science_in_julia_for_hackers

ASKurz/Statistical_Rethinking_with_brms_ggplot2_and_the_tidyverse_2_ed