- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- R19
- R program19
- R script19
- Python13
- Python program13
- Python script13
- py13
- Active learning10
- Ensembl learning10
- Kernel methods10
- Knowledge representation10
- Machine learning10
- Neural networks10
- Recommender system10
- Reinforcement learning10
- Supervised learning10
- Unsupervised learning10
- Bayesian methods8
- Biostatistics8
- Descriptive statistics8
- Gaussian processes8
- Inferential statistics8
- Markov processes8
- Multivariate statistics8
- Probabilistic graphical model8
- Probability8
- Statistics8
- Statistics and probability8
- Data rendering3
- Data visualisation3
- Data management2
- Exomes2
- Genome annotation2
- Genomes2
- Genomics2
- Metadata management2
- Metagenomics2
- MicroRNA sequencing2
- Personal genomics2
- RNA sequencing2
- RNA-Seq2
- RNA-Seq analysis2
- Research data management (RDM)2
- Shotgun metagenomics2
- Single-cell genomics2
- Single-cell sequencing2
- Small RNA sequencing2
- Small RNA-Seq2
- Small-Seq2
- Synthetic genomics2
- Transcriptome profiling2
- Viral genomics2
- WTSS2
- Whole genomes2
- Whole transcriptome shotgun sequencing2
- miRNA-seq2
- Antimicrobial stewardship1
- Bottom-up proteomics1
- Breakend assembly1
- ChIP-exo1
- ChIP-seq1
- ChIP-sequencing1
- Chip Seq1
- Chip sequencing1
- Chip-sequencing1
- Chromosome walking1
- Clone verification1
- Comparative genomics1
- Comparative transcriptomics1
- DNA methylation1
- DNA-Seq1
- DNase-Seq1
- Discovery proteomics1
- Epigenetics1
- Exometabolomics1
- FAIR data1
- Findable, accessible, interoperable, reusable data1
- Functional genome annotation1
- Genome assembly1
- Genomic assembly1
- High throughput sequencing1
- High-throughput sequencing1
- Histone modification1
- LC-MS-based metabolomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based targeted proteomics1
- MS-based untargeted metabolomics1
- MS-based untargeted proteomics1
- Mass spectrometry-based metabolomics1
- Medical microbiology1
- Metabolites1
- Metabolome1
- Metabolomics1
- Metabonomics1
- Metagenome annotation1
- Metaproteomics1
- Methylation profiles1
- Microbial genetics1
- Microbial physiology1
- Show N_FILTERS more
-
-
-
Content provider
- Glittr.org53
- Show N_FILTERS more
-
-
-
Keyword
- Data science
- R268
- Python104
- Transcriptomics88
- RNA-seq82
- Next generation sequencing65
- Statistics61
- Genomics52
- Machine learning51
- Single-cell sequencing49
- Data management43
- Reproducibility40
- Unix/Linux39
- Data visualization36
- FAIR data35
- General33
- Variant analysis29
- Version control26
- training25
- Workflows21
- Containerization20
- FAIR20
- Shiny20
- Metagenomics18
- Docker16
- ChIP-seq15
- Julia13
- Clinical data12
- Nextflow12
- ATAC-seq11
- Epigenetics11
- High performance computing11
- Image analysis11
- Quarto11
- Spatial transcriptomics11
- Cloud computing10
- FAIRsharing10
- Rmarkdown10
- Long read sequencing9
- Snakemake9
- databases9
- policies9
- standards9
- Genome assembly8
- Proteomics8
- RDF8
- SPARQL8
- genes and genomes8
- reproducibility8
- Enrichment analysis7
- Knowledge graph7
- Microbiology7
- data management7
- Artificial intelligence6
- Epidemiology6
- Genome annotation6
- Interoperability6
- SARS-CoV-26
- Singularity6
- data visualisation6
- programming6
- CWL5
- Ontology5
- Pathways and Networks5
- Query data5
- biostatistics5
- next generation sequencing5
- Comparative genomics4
- Galaxy4
- Multiomics4
- Research Data Management4
- SQL4
- Social sciences4
- Standards4
- basic research4
- mark ibberson group4
- medicine and health4
- services and resources4
- torsten schwede & thierry sengstag group4
- DMEG3
- GraphDB3
- Health sciences3
- Life sciences3
- Metadata3
- RDMkit3
- SNOMED CT3
- Semantic Framework3
- alan bridge group3
- challenges3
- data mining3
- database curation3
- experimental biology3
- guidance3
- machine learning3
- marc robinson-rechavi group3
- practices3
- proteins and proteomes3
- tools3
- transcriptomics3
- use cases3
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified53
- Show N_FILTERS more
-
-
-
Author
- Harvard and Dana-Farber Cancer Institute3
- Rafael A Irizarry3
- @posit-pbc2
- Jose A Dianes2
- Roger D. Peng2
- University of Texas at Austin2
- carpentries-incubator2
- http://mosaic-tx.com2
- posit-conf-20232
- 84.51°1
- @UTAustin1
- @formbio1
- @posit-dev1
- @rstudio @UBC-DSCI @UBC-MDS1
- Andrea Telatin1
- AstraZeneca1
- Bradley Boehmke1
- Bruno Rodrigues1
- Computational Biology and Bioinformatics at UCLouvain1
- Daniel Chen1
- Data Carpentry1
- Data Science in Practice1
- DataTalksClub1
- Duke Department of Statistical Science1
- Edwin Thoen1
- Emil Hvitfeldt1
- Federico Carrone1
- Funda1
- Galaxy Project1
- Google1
- Hacking for Science1
- Hadley Wickham1
- ICS 80 - Introduction to Data Science1
- Icahn School of Medicine at Mount Sinai1
- Insee1
- Introduction to Data Science - 2020 - Semester 11
- Jake Vanderplas1
- Johns Hopkins University1
- JuliaAcademy1
- Kyran Dale1
- LambdaClass1
- Lex Fridman1
- Lino Galiana1
- MESR, Luxembourg1
- MIT1
- Michael Pyrcz1
- Modern Data Science with R1
- ModernDive1
- NBIS - National Bioinformatics Infrastructure Sweden1
- PAIR code1
- Pablo Casas1
- Quadram Institute Bioscience1
- Queen Mary University of London, School of Business and Management1
- SIB Swiss Institute of Bioinformatics1
- Sergio Martínez Cuesta1
- Shawn Rhoads1
- Stephanie Hicks1
- Stephen Turner1
- Surgical Informatics1
- The Turing Way1
- UC Berkeley Data 1001
- UC Berkeley Data 81
- Valentin Danchev1
- Wes McKinney1
- rstudio::conf(2022)1
- tidymodels1
- tidyverse1
- Show N_FILTERS more
-
-
-
Contributor
- Harvard and Dana-Farber Cancer Institute3
- Rafael A Irizarry3
- @posit-pbc2
- Jose A Dianes2
- Roger D. Peng2
- University of Texas at Austin2
- carpentries-incubator2
- http://mosaic-tx.com2
- posit-conf-20232
- 84.51°1
- @UTAustin1
- @formbio1
- @posit-dev1
- @rstudio @UBC-DSCI @UBC-MDS1
- Andrea Telatin1
- AstraZeneca1
- Bradley Boehmke1
- Bruno Rodrigues1
- Computational Biology and Bioinformatics at UCLouvain1
- Daniel Chen1
- Data Carpentry1
- Data Science in Practice1
- DataTalksClub1
- Duke Department of Statistical Science1
- Edwin Thoen1
- Emil Hvitfeldt1
- Federico Carrone1
- Funda1
- Galaxy Project1
- Google1
- Hacking for Science1
- Hadley Wickham1
- ICS 80 - Introduction to Data Science1
- Icahn School of Medicine at Mount Sinai1
- Insee1
- Introduction to Data Science - 2020 - Semester 11
- Jake Vanderplas1
- Johns Hopkins University1
- JuliaAcademy1
- Kyran Dale1
- LambdaClass1
- Lex Fridman1
- Lino Galiana1
- MESR, Luxembourg1
- MIT1
- Michael Pyrcz1
- Modern Data Science with R1
- ModernDive1
- NBIS - National Bioinformatics Infrastructure Sweden1
- PAIR code1
- Pablo Casas1
- Quadram Institute Bioscience1
- Queen Mary University of London, School of Business and Management1
- SIB Swiss Institute of Bioinformatics1
- Sergio Martínez Cuesta1
- Shawn Rhoads1
- Stephanie Hicks1
- Stephen Turner1
- Surgical Informatics1
- The Turing Way1
- UC Berkeley Data 1001
- UC Berkeley Data 81
- Valentin Danchev1
- Wes McKinney1
- rstudio::conf(2022)1
- tidymodels1
- tidyverse1
- Show N_FILTERS more
-
- Show archived materials
