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
    • Bayesian methods16
    • Biostatistics16
    • Descriptive statistics16
    • Gaussian processes16
    • Inferential statistics16
    • Markov processes16
    • Multivariate statistics16
    • Probabilistic graphical model16
    • Probability16
    • Statistics16
    • Statistics and probability16
    • Biological sequences2
    • Epigenomics2
    • Sequence analysis2
    • Sequence databases2
    • Show N_FILTERS more
    • Tool
    • Galaxy19
    • scikit-learn10
    • FastQC2
    • SAMtools2
    • BEDTools1
    • BamTools1
    • Bowtie 21
    • Cutadapt1
    • DeepTools1
    • FASTQE1
    • GEMINI1
    • HiCExplorer1
    • JBrowse1
    • JBrowse 21
    • MACS1
    • NanoPlot1
    • Trim Galore1
    • UCSC Genome Browser Utilities1
    • pyGenomeTracks1
    • pycoQC1
    • Show N_FILTERS more
    • Content provider
    • GTN20
    • Show N_FILTERS more
    • Keyword
    • Statistics and machine learning16
    • Epigenetics2
    • Sequence analysis2
    • deep-learning2
    • interactive-tools2
    • jupyter-lab2
    • machine-learning2
    • ChIP-seq1
    • Machine learning1
    • Pan-cancer1
    • cancer biomarkers1
    • dephosphorylation-site-prediction1
    • deutsch1
    • español1
    • fine-tuning1
    • image-segmentation1
    • italiano1
    • oncogenes and tumor suppressor genes1
    • protein-3D-structure1
    • Show N_FILTERS more
    • Competency level
    • Beginner
    • Intermediate12
    • Show N_FILTERS more
    • Licence
    • Creative Commons Attribution 4.0 International20
    • Show N_FILTERS more
    • Target audience
    • Students20
    • Show N_FILTERS more
    • Author
    • Anup Kumar6
    • Kaivan Kamali6
    • Alireza Khanteymoori3
    • Bérénice Batut2
    • Fidel Ramirez2
    • Jeremy Goecks2
    • Joachim Wolff2
    • Junhao Qiu2
    • Khai Van Dang2
    • Paulo Cilas Morais Lyra Junior2
    • Simon Bray2
    • Vivek Bhardwaj2
    • Alexandre Cormier1
    • Amirhossein Naghsh Nilchi1
    • Anika Erxleben1
    • Anthony Bretaudeau1
    • Björn Grüning1
    • Cameron Hyde1
    • Cristóbal Gallardo1
    • Daniel Blankenberg1
    • Ekaterina Polkh1
    • Engy Nasr1
    • Erwan Corre1
    • Friederike Dündar1
    • Laura Leroi1
    • Leily Rabbani1
    • Maria Doyle1
    • Pavankumar Videm1
    • Saskia Hiltemann1
    • Stéphanie Robin1
    • Vijay1
    • Show N_FILTERS more
    • Contributor
    • Anup Kumar
    • Saskia Hiltemann472
    • Helena Rasche411
    • Björn Grüning333
    • Bérénice Batut199
    • Nicola Soranzo157
    • Martin Čech116
    • Cristóbal Gallardo90
    • Niall Beard83
    • Anthony Bretaudeau77
    • Nate Coraor66
    • Wendi Bacon65
    • Armin Dadras56
    • Gildas Le Corguillé55
    • William Durand54
    • Simon Gladman50
    • Marius van den Beek45
    • Mehmet Tekman44
    • Lucille Delisle42
    • Teresa Müller42
    • Yvan Le Bras42
    • Marie Josse36
    • Pavankumar Videm36
    • Beatriz Serrano-Solano29
    • Wolfgang Maier26
    • Maria Doyle22
    • Anne Fouilloux21
    • Julia Jakiela20
    • Khaled Jum'ah17
    • Tristan Reynolds17
    • Melanie Föll16
    • Petros Kountouris16
    • Subina Mehta16
    • Paul Zierep15
    • Pratik Jagtap15
    • Simon Bray15
    • Deepti Varshney14
    • Donny Vrins14
    • Marisa Loach14
    • Bazante Sanders13
    • David López13
    • Mira Kuntz13
    • Anton Nekrutenko12
    • Delphine Lariviere12
    • Matthias Bernt12
    • Pablo Moreno12
    • Timothy J. Griffin12
    • Daniela Schneider11
    • Gianmauro Cuccuru11
    • Katarzyna Kamieniecka11
    • Mélanie Petera11
    • Peter van Heusden11
    • Paul De Geest9
    • Elin Kronander8
    • John Chilton8
    • Kaivan Kamali8
    • Verena Moosmann8
    • Wolmar Nyberg Åkerström8
    • Amirhossein Naghsh Nilchi7
    • Anna Syme7
    • Florian Heyl7
    • Hans-Rudolf Hotz7
    • Katherine Do7
    • Leonid Kostrykin7
    • Markus Englund7
    • Mattias Strömberg7
    • Melissa Burke7
    • Morgan Howells7
    • Niclas Jareborg7
    • Stephan Nylinder7
    • Tomas Klingström7
    • Yvonne Kallberg7
    • Alexandre Cormier6
    • Dave Clements6
    • Ekaterina Polkh6
    • Erik Hedman6
    • Mallory Freeberg6
    • Sabine Österle6
    • Solenne Correard6
    • Alex Ostrovsky5
    • Alireza Khanteymoori5
    • Bert Droesbeke5
    • Catherine Bromhead5
    • Diana Chiang Jurado5
    • John Davis5
    • Stéphanie Robin5
    • Vassilios Ioannidis5
    • Andrea Bagnacani4
    • Clea Siguret4
    • Coline Royaux4
    • Daniel Sobral4
    • Dave B.4
    • Eli Chadwick4
    • Enis Afgan4
    • Fotis E. Psomopoulos4
    • Phil Reed4
    • Pinar Alper4
    • Sotiroula Chatzimatthaiou4
    • Tim Beck4
    • Alexander Botzki3
    • Show N_FILTERS more
    • Resource type
    • e-learning15
    • slides5
    • Show N_FILTERS more
    • Related resource
    • Associated Training Datasets20
    • Associated Workflows19
    • 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

Competency level: Beginner

and Contributors: Anup Kumar

20 materials found
  • e-learning

    Image classification in Galaxy with fruit 360 dataset

    • Beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Basics of machine learning

    • Beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Clustering in Machine Learning

    • Beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Deep Learning (Part 2) - Recurrent neural networks (RNN)

    • Beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Deep Learning (Part 3) - Convolutional neural networks (CNN)

    • Beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Deep Learning (Part 1) - Feedforward neural networks (FNN)

    • Beginner
    Statistics and probability Statistics and machine learning
  • slides

    Image classification in Galaxy with fruit 360 dataset

    • Beginner
    Statistics and probability Statistics and machine learning
  • slides

    Feedforward neural networks (FNN) Deep Learning - Part 1

    • Beginner
    Statistics and probability Statistics and machine learning
  • e-learning

    Quality Control

    • Beginner
    Sequence analysis Sequence analysis deutsch español italiano
  • slides

    Mapping

    • Beginner
    Sequence analysis Sequence analysis
  • 1
  • 2
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.