Filters

• Sort

• • Most recent Last modified Title descending Title ascending

• Filter Clear filters

• • Scientific topic
  • R84
  • R program84
  • R script84
  • Comparative transcriptomics57
  • Transcriptome57
  • Transcriptomics57
  • MicroRNA sequencing53
  • RNA sequencing53
  • RNA-Seq53
  • RNA-Seq analysis53
  • Small RNA sequencing53
  • Small RNA-Seq53
  • Small-Seq53
  • Transcriptome profiling53
  • WTSS53
  • Whole transcriptome shotgun sequencing53
  • miRNA-seq53
  • Genome annotation39
  • Chromosome walking38
  • Clone verification38
  • DNA-Seq38
  • DNase-Seq38
  • High throughput sequencing38
  • High-throughput sequencing38
  • NGS38
  • NGS data analysis38
  • Next gen sequencing38
  • Next generation sequencing38
  • Panels38
  • Primer walking38
  • Sanger sequencing38
  • Sequencing38
  • Targeted next-generation sequencing panels38
  • Bayesian methods37
  • Biostatistics37
  • Descriptive statistics37
  • Exomes37
  • Gaussian processes37
  • Genomes37
  • Genomics37
  • Inferential statistics37
  • Markov processes37
  • Multivariate statistics37
  • Personal genomics37
  • Probabilistic graphical model37
  • Probability37
  • Python37
  • Python program37
  • Python script37
  • Statistics37
  • Statistics and probability37
  • Synthetic genomics37
  • Viral genomics37
  • Whole genomes37
  • py37
  • Data management29
  • Metadata management29
  • Research data management (RDM)29
  • Single-cell genomics27
  • Single-cell sequencing27
  • FAIR data25
  • Findable, accessible, interoperable, reusable data25
  • Data rendering24
  • Data visualisation24
  • Active learning21
  • Ensembl learning21
  • Kernel methods21
  • Knowledge representation21
  • Machine learning21
  • Neural networks21
  • Recommender system21
  • Reinforcement learning21
  • Supervised learning21
  • Unsupervised learning21
  • Pipelines15
  • Software integration15
  • Tool integration15
  • Tool interoperability15
  • Variant pattern analysis15
  • Workflows15
  • Metagenomics13
  • Shotgun metagenomics13
  • R markdown8
  • ChIP-exo7
  • ChIP-seq7
  • ChIP-sequencing7
  • Chip Seq7
  • Chip sequencing7
  • Chip-sequencing7
  • Image analysis7
  • Antimicrobial stewardship6
  • Bottom-up proteomics6
  • DNA methylation6
  • Discovery proteomics6
  • Epigenetics6
  • Histone modification6
  • MS-based targeted proteomics6
  • MS-based untargeted proteomics6
  • Medical microbiology6
  • Metaproteomics6
  • Show N_FILTERS more
• • Content provider
  • Glittr.org415
  • SIB Swiss Institute of Bioinformatics60
  • BY-COVID31
  • ELIXIR1
  • Show N_FILTERS more
• • Keyword
  • R169
  • Python57
  • Transcriptomics57
  • RNA-seq53
  • Next generation sequencing38
  • Genomics37
  • Statistics37
  • Data science36
  • Reproducibility32
  • Data management31
  • Single-cell sequencing27
  • FAIR data26
  • training25
  • Data visualization24
  • Unix/Linux22
  • Machine learning21
  • General17
  • Containerization16
  • Variant analysis15
  • Workflows15
  • FAIR14
  • Version control14
  • Metagenomics13
  • Docker11
  • FAIRsharing10
  • High performance computing9
  • databases9
  • policies9
  • standards9
  • Nextflow8
  • Rmarkdown8
  • genes and genomes8
  • reproducibility8
  • ChIP-seq7
  • Cloud computing7
  • Image analysis7
  • Julia7
  • data management7
  • Epigenetics6
  • Microbiology6
  • Proteomics6
  • Quarto6
  • Snakemake6
  • Spatial transcriptomics6
  • data visualisation6
  • programming6
  • ATAC-seq5
  • Epidemiology5
  • Shiny5
  • biostatistics5
  • next generation sequencing5
  • CWL4
  • Enrichment analysis4
  • Long read sequencing4
  • Multiomics4
  • Research Data Management4
  • SQL4
  • Singularity4
  • Social sciences4
  • mark ibberson group4
  • medicine and health4
  • services and resources4
  • torsten schwede & thierry sengstag group4
  • DMEG3
  • Galaxy3
  • Genome assembly3
  • Health sciences3
  • Life sciences3
  • RDMkit3
  • SPARQL3
  • alan bridge group3
  • basic research3
  • challenges3
  • data mining3
  • database curation3
  • experimental biology3
  • guidance3
  • machine learning3
  • marc robinson-rechavi group3
  • practices3
  • proteins and proteomes3
  • tools3
  • transcriptomics3
  • use cases3
  • Animal pathogens2
  • Artificial intelligence2
  • Bioimage2
  • Blast2
  • Comparative genomics2
  • E learning2
  • Genome annotation2
  • Java2
  • Metadata2
  • Multiple sequence alignment2
  • Pathways and Networks2
  • Phylogenetics2
  • SARS-CoV-2 sequencing data2
  • archive2
  • comparative genomics2
  • container2
  • Show N_FILTERS more
• • Difficulty level
  • Not specified457
  • Beginner39
  • Intermediate11
  • Show N_FILTERS more
• • Licence
  • License Not Specified
  • MIT License75
  • Creative Commons Attribution Share Alike 4.0 International60
  • Creative Commons Attribution 4.0 International58
  • GNU General Public License v3.0 only28
  • Creative Commons Zero v1.0 Universal25
  • Apache License 2.012
  • BSD 3-Clause "New" or "Revised" License12
  • Creative Commons Attribution Non Commercial Share Alike 4.0 International4
  • Artistic License 2.02
  • Creative Commons Attribution Non Commercial 4.0 International2
  • Creative Commons Attribution Non Commercial No Derivatives 4.0 International2
  • GNU Affero General Public License v3.0 only2
  • Do What The F*ck You Want To Public License1
  • The Unlicense1
  • Show N_FILTERS more
• • Target audience
  • Bench biologists4
  • Biologists4
  • Laboratory technicians4
  • Researchers4
  • Veterinarians4
  • Operators, developers and managers of bioinformatics resources1
  • Show N_FILTERS more
• • Author
  • SIB Swiss Institute of Bioinformatics57
  • carpentries-incubator46
  • Data Carpentry16
  • NBIS - National Bioinformatics Infrastructure Sweden15
  • Teaching materials at the Harvard Chan Bioinformatics Core15
  • bioinformatics.ca14
  • Canadian Bioinformatics Workshops10
  • Instituto Gulbenkian de Ciência10
  • The Gulbenkian Training Programme in Bioinformatics10
  • @posit-pbc9
  • Wandrille Duchemin9
  • CRUK CI Bioinformatics Core8
  • Geert van Geest6
  • Software Carpentry6
  • Biocore@CRG5
  • Bioinformatics, Rockefeller University5
  • Hadley Wickham5
  • The Carpentries Lab5
  • posit-conf-20235
  • AstraZeneca4
  • Computational Biology and Bioinformatics at UCLouvain4
  • ELIXIR Europe Training4
  • Philippe Le Mercier4
  • Rami Krispin4
  • Robin Engler4
  • Sergio Martínez Cuesta4
  • VIB Technologies: Training material and software projects4
  • Alex's Lemonade Stand Foundation3
  • Elisabeth Gasteiger3
  • Harvard and Dana-Farber Cancer Institute3
  • R Programming @ University of Cincinnati3
  • RStudio Education3
  • Rafael A Irizarry3
  • Roger D. Peng3
  • University of Texas at Austin3
  • 84.51°2
  • @rstudio2
  • Boston University2
  • Bradley Boehmke2
  • Cloud-SPAN2
  • David Dalpiaz2
  • Fred Hutch Data Science Lab @fhdsl2
  • Grégoire Rossier2
  • James W. MacDonald2
  • Jennifer (Jenny) Bryan2
  • Joao Lourenço2
  • Jose A Dianes2
  • Lukas Weber2
  • Marc Robinson-Rechavi2
  • Marie-Claude Blatter2
  • Master of Environmental Data Science (MEDS) program2
  • Melbourne Bioinformatics2
  • PerMedCoE2
  • Philippe Lemercier2
  • RStudio2
  • Rachel Jeitziner Marcone2
  • Ted Laderas2
  • Theis Lab2
  • UIUC2
  • University of Washington2
  • Vassilios Ioannidis2
  • Waldron Lab at the CUNY SPH2
  • Walter and Eliza Hall Institute of Medical Research2
  • cambiotraining2
  • http://mosaic-tx.com2
  • rstudio::conf(2022)2
  • @IFB-ElixirFr1
  • @LieberInstitute1
  • @Lightning-AI , University of Wisconsin-Madison1
  • @SUNET1
  • @formbio1
  • @posit-dev1
  • AWS Samples1
  • Aditya Dahiya1
  • AgroParisTech1
  • Ahmed Mahfouz1
  • Aix Marseille Univ, INSERM, TAGC, UMR_S_1090, TGML, MarMaRa Institute1
  • Aix-Marseille Université1
  • Akuli1
  • Allen Downey1
  • Amanda Miotto1
  • Amarinder Singh Thind1
  • Amos Bairoch1
  • Ana-Claudia Sima1
  • Andries Marees1
  • Anna Schaar1
  • Anne Morgat1
  • Antonello Lobianco1
  • Applied Genomics1
  • Applied Machine Learning for Tabular Data1
  • BHKLAB1
  • Baker Matthew1
  • Ben Lauwens1
  • BiGCaT, Department of Translational Genomics1
  • BioData.pt1
  • BioJava1
  • Bioconductor1
  • Biodata Analysis Group1
  • BioinformaNicks1
  • Broad Institute1
  • Show N_FILTERS more
• • Contributor
  • carpentries-incubator46
  • Data Carpentry16
  • NBIS - National Bioinformatics Infrastructure Sweden15
  • Teaching materials at the Harvard Chan Bioinformatics Core15
  • bioinformatics.ca14
  • SIB Swiss Institute of Bioinformatics12
  • Canadian Bioinformatics Workshops10
  • Instituto Gulbenkian de Ciência10
  • The Gulbenkian Training Programme in Bioinformatics10
  • @posit-pbc9
  • CRUK CI Bioinformatics Core8
  • Software Carpentry6
  • Biocore@CRG5
  • Bioinformatics, Rockefeller University5
  • Hadley Wickham5
  • The Carpentries Lab5
  • posit-conf-20235
  • AstraZeneca4
  • Computational Biology and Bioinformatics at UCLouvain4
  • ELIXIR Europe Training4
  • Rami Krispin4
  • Sergio Martínez Cuesta4
  • VIB Technologies: Training material and software projects4
  • Alex's Lemonade Stand Foundation3
  • Harvard and Dana-Farber Cancer Institute3
  • R Programming @ University of Cincinnati3
  • RStudio Education3
  • Rafael A Irizarry3
  • Roger D. Peng3
  • University of Texas at Austin3
  • 84.51°2
  • @rstudio2
  • Boston University2
  • Bradley Boehmke2
  • Cloud-SPAN2
  • David Dalpiaz2
  • Fred Hutch Data Science Lab @fhdsl2
  • James W. MacDonald2
  • Jennifer (Jenny) Bryan2
  • Jose A Dianes2
  • Lukas Weber2
  • Master of Environmental Data Science (MEDS) program2
  • Melbourne Bioinformatics2
  • PerMedCoE2
  • RStudio2
  • Ted Laderas2
  • Theis Lab2
  • UIUC2
  • University of Washington2
  • Waldron Lab at the CUNY SPH2
  • Walter and Eliza Hall Institute of Medical Research2
  • cambiotraining2
  • http://mosaic-tx.com2
  • rstudio::conf(2022)2
  • @IFB-ElixirFr1
  • @LieberInstitute1
  • @Lightning-AI , University of Wisconsin-Madison1
  • @SUNET1
  • @formbio1
  • @posit-dev1
  • AWS Samples1
  • Aditya Dahiya1
  • AgroParisTech1
  • Aix Marseille Univ, INSERM, TAGC, UMR_S_1090, TGML, MarMaRa Institute1
  • Aix-Marseille Université1
  • Akuli1
  • Allen Downey1
  • Amanda Miotto1
  • Amarinder Singh Thind1
  • Andries Marees1
  • Antonello Lobianco1
  • Applied Genomics1
  • Applied Machine Learning for Tabular Data1
  • BHKLAB1
  • Ben Lauwens1
  • BiGCaT, Department of Translational Genomics1
  • BioData.pt1
  • BioJava1
  • Bioconductor1
  • Biodata Analysis Group1
  • BioinformaNicks1
  • Broad Institute1
  • CDSB1
  • CSC - IT Center for Science1
  • CUNY School of Public Health1
  • Cargenie Mellon1
  • Carson Sievert1
  • Causal Inference in R1
  • Charles Severance1
  • Chloe Mirzayi1
  • Christian Burkhart1
  • Claudia Solis-Lemus1
  • Claus Wilke1
  • Colautti Lab1
  • Colautti Lab, Queen's University, Canada1
  • Colin Gillespie1
  • Common Fund Data Ecosystem1
  • Computational Cancer Biology and Epigenomics1
  • Computational Genomics with R1
  • Computational Metagenomics1
  • Show N_FILTERS more
• • Resource type
  • e-learning2
  • Toolkit1
  • ViralZone1
  • Show N_FILTERS more
• • Node
  • Switzerland
  • EMBL-EBI400
  • Germany37
  • United Kingdom22
  • France15
  • Finland14
  • Netherlands12
  • Czech Republic9
  • Spain8
  • Belgium6
  • Portugal5
  • Luxembourg3
  • Norway3
  • Slovenia3
  • Greece2
  • Sweden2
  • Israel1
  • Italy1
  • Show N_FILTERS more
• • Collection
  • PINK project4
  • Impact of research infrastructures1
  • Show N_FILTERS more
• • Status
  • Active2
  • Show N_FILTERS more
• Show archived materials
• • Date added
  • In the last 24 hours
  • In the last 1 week
  • In the last 1 month