- Home
- Materials
Filters
Sort
-
-
Filter Clear filters
-
-
Scientific topic
- Active learning1
- Antimicrobial stewardship1
- Bayesian methods1
- Biome sequencing1
- Biostatistics1
- 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
- Data management1
- Descriptive statistics1
- Discovery proteomics1
- Ensembl learning1
- Epigenetics1
- Exomes1
- Exometabolomics1
- FAIR data1
- Findable, accessible, interoperable, reusable data1
- Functional genome annotation1
- Gaussian processes1
- Genome annotation1
- Genome assembly1
- Genomes1
- Genomic assembly1
- Genomics1
- High throughput sequencing1
- High-throughput sequencing1
- Histone modification1
- Inferential statistics1
- Kernel methods1
- Knowledge representation1
- LC-MS-based metabolomics1
- MS-based metabolomics1
- MS-based targeted metabolomics1
- MS-based targeted proteomics1
- MS-based untargeted metabolomics1
- MS-based untargeted proteomics1
- Machine learning1
- Markov processes1
- Mass spectrometry-based metabolomics1
- Medical microbiology1
- Metabolites1
- Metabolome1
- Metabolomics1
- Metabonomics1
- Metadata management1
- Metagenome annotation1
- Metagenomics1
- Metaproteomics1
- Methylation profiles1
- MicroRNA sequencing1
- Microbial genetics1
- Microbial physiology1
- Microbial surveillance1
- Microbiological surveillance1
- Microbiology1
- Molecular infection biology1
- Molecular microbiology1
- Multivariate statistics1
- NGS1
- NGS data analysis1
- NMR-based metabolomics1
- Neural networks1
- Next gen sequencing1
- Next generation sequencing1
- Panels1
- Peptide identification1
- Personal genomics1
- Primer walking1
- Probabilistic graphical model1
- Probability1
- Protein and peptide identification1
- Proteomics1
- Quantitative proteomics1
- RNA sequencing1
- RNA-Seq1
- RNA-Seq analysis1
- Recommender system1
- Reinforcement learning1
- Sanger sequencing1
- Sequence assembly (genome assembly)1
- Sequencing1
- Shotgun metagenomics1
- Small RNA sequencing1
- Small RNA-Seq1
- Small-Seq1
- Statistics1
- Statistics and probability1
- Structural genome annotation1
- Show N_FILTERS more
-
-
-
Content provider
- Glittr.org1
- Show N_FILTERS more
-
-
-
Keyword
- General
- R
- ATAC-seq1
- ChIP-seq1
- Comparative genomics1
- Data management1
- Data science1
- Epigenetics1
- FAIR data1
- Galaxy1
- Genome annotation1
- Genome assembly1
- Genomics1
- Long read sequencing1
- Machine learning1
- Metabolomics1
- Metagenomics1
- Microbiology1
- Next generation sequencing1
- Proteomics1
- Python1
- RNA-seq1
- Reproducibility1
- Single-cell sequencing1
- Snakemake1
- Statistics1
- Transcriptomics1
- Unix/Linux1
- Variant analysis1
- Version control1
- Show N_FILTERS more
-
-
-
Difficulty level
- Not specified
- Show N_FILTERS more
-
-
-
Licence
- MIT License1
- Show N_FILTERS more
-
-
-
Contributor
- Galaxy Project
- posit-conf-202319
- UC Davis Bioinformatics Core Training Page12
- carpentries-incubator9
- rstudio::conf(2022)9
- @posit-pbc8
- Bioinformatics, Rockefeller University6
- Data Carpentry6
- Hadley Wickham5
- SIB Swiss Institute of Bioinformatics5
- Teaching materials at the Harvard Chan Bioinfor...5
- Computational Biology and Bioinformatics at UCL...4
- Instituto Gulbenkian de Ciência4
- NBIS - National Bioinformatics Infrastructure S...4
- RStudio4
- The Gulbenkian Training Programme in Bioinforma...4
- CRUK CI Bioinformatics Core3
- Harvard and Dana-Farber Cancer Institute3
- R Programming @ University of Cincinnati3
- RStudio Education3
- Rafael A Irizarry3
- Roger D. Peng3
- University of Texas at Austin3
- bioinformatics.ca3
- 84.51°2
- AstraZeneca2
- Biocore@CRG2
- Bradley Boehmke2
- C. Li2
- Canadian Bioinformatics Workshops2
- Fred Hutch Data Science Lab @fhdsl2
- Health Data Science Sandbox2
- Institut Français de Bioinformatique (IFB)2
- James W. MacDonald2
- Jennifer (Jenny) Bryan2
- Jose A Dianes2
- Melbourne Bioinformatics2
- Oslo Centre for Biostatistics and Epidemiology2
- Rami Krispin2
- Sergio Martínez Cuesta2
- Ted Laderas2
- University of Georgia2
- University of Washington2
- http://mosaic-tx.com2
- @IFB-ElixirFr1
- @LieberInstitute1
- @RStudio1
- @rstudio1
- A. Solomon Kurz1
- Aix-Marseille Université1
- Alex's Lemonade Stand Foundation1
- Amanda Miotto1
- Andrea Telatin1
- Applied Machine Learning for Tabular Data1
- BHKLAB1
- BioINForm1
- Bioconductor1
- BioinformaNicks1
- Boston University1
- Broad Institute1
- Bruno Rodrigues1
- Carson Sievert1
- Causal Inference in R1
- Christian Burkhart1
- 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
- Daniel Kaplan1
- Danielle Navarro1
- Data Challenge Lab Open Content1
- David Dalpiaz1
- David Robinson1
- Davis Laboratory1
- Dirk Eddelbuettel1
- Duke Department of Statistical Science1
- ELIXIR Estonia1
- ELIXIR Europe Training1
- Edwin Thoen1
- Emil Hvitfeldt1
- Eric C. Anderson1
- Funda1
- G. Jay Kerns1
- Genome Informatics Facility1
- George G. Vega Yon1
- Hacking for Science1
- Harvard Informatics1
- Heap1
- Hugo Tavares1
- ICS 80 - Introduction to Data Science1
- Immunitas1
- Introduction to Data Science - 2020 - Semester 11
- Isabella Velásquez1
- JD Long1
- Jacques van Helden1
- Jemma Stachelek1
- Jeroen Janssens1
- Show N_FILTERS more
-
- Show archived materials