Training eSupport System
  • Log In
    • Log in with LS Login
    • Login
    • Register
  • About
  • Events
  • Materials
  • e-Learning
  • Workflows
  • Collections
  • Learning paths
  • Directory
    • Providers
    • Nodes
    • Spaces

TeSS makes use of some necessary cookies to provide its core functionality. Additionally, we make use of Google Analytics to discover how people are using TeSS in order to help us improve the service. To opt out of this, choose the "Allow necessary cookies" option.

See our Privacy Policy for more information.

You can modify your cookie preferences at any time here, or from the link in the footer.

Allow necessary cookies Allow all cookies
  1. Home
  2. Materials

Filter

  • Sort

  • Filter Clear filters

    • Date added
    • In the last 24 hours
    • In the last 1 week
    • In the last 1 month
    • Scientific topic
    • Variant pattern analysis
    • R89
    • R program89
    • R script89
    • Bayesian methods29
    • Biostatistics29
    • Descriptive statistics29
    • Gaussian processes29
    • Inferential statistics29
    • Markov processes29
    • Multivariate statistics29
    • Probabilistic graphical model29
    • Probability29
    • Statistics29
    • Statistics and probability29
    • Data rendering21
    • Data visualisation21
    • Comparative transcriptomics20
    • Transcriptome20
    • Transcriptomics20
    • MicroRNA sequencing16
    • RNA sequencing16
    • RNA-Seq16
    • RNA-Seq analysis16
    • Small RNA sequencing16
    • Small RNA-Seq16
    • Small-Seq16
    • Transcriptome profiling16
    • WTSS16
    • Whole transcriptome shotgun sequencing16
    • miRNA-seq16
    • Genome annotation15
    • Exomes13
    • Genomes13
    • Genomics13
    • Personal genomics13
    • Synthetic genomics13
    • Viral genomics13
    • Whole genomes13
    • Active learning11
    • Ensembl learning11
    • Kernel methods11
    • Knowledge representation11
    • Machine learning11
    • Neural networks11
    • Recommender system11
    • Reinforcement learning11
    • Supervised learning11
    • Unsupervised learning11
    • Single-cell genomics10
    • Single-cell sequencing10
    • Chromosome walking8
    • Clone verification8
    • DNA-Seq8
    • DNase-Seq8
    • High throughput sequencing8
    • High-throughput sequencing8
    • NGS8
    • NGS data analysis8
    • Next gen sequencing8
    • Next generation sequencing8
    • Panels8
    • Primer walking8
    • R markdown8
    • Sanger sequencing8
    • Sequencing8
    • Targeted next-generation sequencing panels8
    • Bottom-up proteomics4
    • Discovery proteomics4
    • Integrative omics4
    • MS-based targeted proteomics4
    • MS-based untargeted proteomics4
    • Metaproteomics4
    • Multi-omics4
    • Multiomics4
    • Pan-omics4
    • Panomics4
    • Peptide identification4
    • Protein and peptide identification4
    • Proteomics4
    • Quantitative proteomics4
    • Targeted proteomics4
    • Top-down proteomics4
    • Pipelines3
    • Python3
    • Python program3
    • Python script3
    • Software integration3
    • Tool integration3
    • Tool interoperability3
    • Workflows3
    • py3
    • Antimicrobial stewardship2
    • CWL2
    • Common Workflow Language2
    • CommonWL2
    • Data management2
    • Enrichment2
    • Enrichment analysis2
    • Functional enrichment2
    • Show N_FILTERS more
    • Content provider
    • Glittr.org3
    • Show N_FILTERS more
    • Keyword
    • R
    • Variant analysis21
    • Genomics11
    • Next generation sequencing11
    • RNA-seq4
    • Transcriptomics4
    • Unix/Linux3
    • Data visualization2
    • Enrichment analysis2
    • Epigenetics2
    • Galaxy2
    • General2
    • Nextflow2
    • Single-cell sequencing2
    • Version control2
    • Workflows2
    • CWL1
    • ChIP-seq1
    • Cloud computing1
    • Containerization1
    • Epidemiology1
    • FAIR data1
    • Genome annotation1
    • Genome assembly1
    • High performance computing1
    • Julia1
    • Long read sequencing1
    • Microbiology1
    • Multiomics1
    • Python1
    • Reproducibility1
    • Rmarkdown1
    • Singularity1
    • Show N_FILTERS more
    • Competency level
    • Not specified3
    • Show N_FILTERS more
    • Licence
    • License Not Specified
    • Creative Commons Zero v1.0 Universal1
    • GNU General Public License v3.0 only1
    • MIT License1
    • Show N_FILTERS more
    • Author
    • Bioinformatics, Rockefeller University1
    • Teaching materials at the Harvard Chan Bioinformatics Core1
    • Workflow Languages in R1
    • Show N_FILTERS more
    • Contributor
    • Aedin Culhane1
    • Alexandru Mahmoud1
    • Amélie Julé1
    • Elizabeth Partan1
    • Ilya Sytchev1
    • Ji-Dung Luo1
    • Jihe Liu1
    • Kevin Rue-Albrecht1
    • Kozo Nishida1
    • Levi Waldron1
    • Marcel Ramos Pérez1
    • Matt Paul1
    • Meeta Mistry1
    • Qian Liu1
    • Radhika Khetani1
    • Rory Kirchner1
    • Sean Davis1
    • Serhiy Naumenko1
    • Thomas Carroll1
    • Upen Bhattarai1
    • Will Gammerdinger1
    • eberdan1
    • hwick1
    • marypiper1
    • msimoneau1
    • qhu1
    • Show N_FILTERS more
    • Node
    • Switzerland3
    • Show N_FILTERS more
  • Show materials from all spaces
  • Show disabled materials
  • Show materials with broken links
  • Show archived materials

Training materials

  • Subscribe via email

Email Subscription

Register training material

Scientific topics: Variant pattern analysis

and Keywords: R

and Licence: License Not Specified

3 materials found
  • rworkflow/RcwlWorkshop

    ELIXIR node event
    Workflows CWL Variant pattern analysis R CWL Workflows Variant analysis
  • RockefellerUniversity/RU_GenomicVariants

    ELIXIR node event
    Variant pattern analysis R Variant analysis
  • hbctraining/Training-modules

    ELIXIR node event
    R markdown Enrichment analysis Data visualisation Variant pattern analysis RNA-Seq FAIR data Transcriptomics General Python R …
Training eSupport System
[email protected]
Contribute
About TeSS
Browse Spaces
Funding & acknowledgements
Privacy
Cookie preferences
Version: 1.5.1
Source code
API documentation
Bioschemas testing tool

TeSS has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 676559.