Training materials
Target audience: Any students, postdocs or RAs who have an inter... or Python for Biologists or Students or high school or software engineers
and Contributors: Anika Erxleben or Kaivan Kamali
-
hands-on tutorial
Exome sequencing data analysis for diagnosing a genetic disease
• beginnerGenetic variation Variant Analysis -
hands-on tutorial
Hands-on for 'Formation of the Super-Structures on the Inactive X' tutorial
-
hands-on tutorial
Hands-on for 'Identification of the binding sites of the Estrogen receptor' tutorial
-
hands-on tutorial
Hands-on for 'Identification of the binding sites of the T-cell acute lymphocytic leukemia protein 1 (TAL1)' tutorial
-
hands-on tutorial
Pre-processing of Single-Cell RNA Data
• beginnerTranscriptomics Single Cell -
hands-on tutorial
Hands-on for 'Reference-based RNA-Seq data analysis' tutorial
• beginnertranscriptomics bulk rna-seq collections drosophila QC cyoa -
hands-on tutorial
Image classification in Galaxy with fruit 360 dataset
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Deep Learning (Part 2) - Recurrent neural networks (RNN)
• beginnerStatistics and probability Statistics and machine learning -
slides
Recurrent neural networks (RNN) Deep Learning - Part 2
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
Deep Learning (Part 1) - Feedforward neural networks (FNN)
• beginnerStatistics and probability Statistics and machine learning
- 1
- 2