- Home
- Events
Filters
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Keyword
- training8
- torsten schwede & thierry sengstag group6
- data visualisation4
- mark ibberson group4
- programming3
- Gene expression2
- Machine Learning and Artificial Intelligence Course2
- RNAseq2
- data analysis2
- data mining2
- machine learning2
- AlphaFold1
- Best Practices1
- Bioinformatics1
- ChEMBL1
- Cloud Computing1
- Cloud Research Environment1
- Command line1
- DNA & RNA (dna-rna)1
- Data analysis1
- De novo1
- Drug design1
- Drug discovery1
- Drug screening1
- EMBL-EBI data services1
- EdgeR1
- GATK1
- Genomics1
- Germline1
- Hi-C1
- High Performance Computing for Companies1
- Introduction1
- LUMI Supercomputer1
- Linux1
- Long-read1
- Molecular docking1
- Nanopore1
- PDBe1
- PDBe-KB1
- PacBio1
- Polygenic Score Catalog1
- Proteins (proteins)1
- QSAR1
- Quantum mechanics/molecular mechanics1
- R1
- R Programming1
- RNA1
- Reproducible1
- Reproducible Research1
- Rstudio1
- Salmon1
- Short read1
- Short-read1
- Single cell1
- Software1
- Somatic1
- Statistics1
- Strategy1
- Tidyverse1
- Training infrastructure1
- Training material1
- Transcriptomics1
- UniProt: The Universal Protein Resource1
- Variant1
- Workflow1
- alan bridge group1
- biostatistics1
- chemical biology1
- cheminformatics1
- data management1
- deep learning1
- ggplot21
- in silico drug design1
- infectious disease1
- marc robinson-rechavi group1
- medicine and health1
- molecular modelling1
- networking1
- pharmacophore1
- polygenic score1
- services and resources1
- statistics1
- transcriptomics1
- Show N_FILTERS more
-
-
-
Scientific topic
- Active learning2
- Bioinformatics2
- Ensembl learning2
- Kernel methods2
- Knowledge representation2
- Machine learning2
- Neural networks2
- Recommender system2
- Reinforcement learning2
- Supervised learning2
- Unsupervised learning2
- Biomolecular structure1
- Comparative modelling1
- Computational structural biology1
- Data acquisition1
- Data collecting1
- Data collection1
- Data gathering1
- Docking1
- Drug development1
- Drug development science1
- Drug discovery1
- Experimental techniques1
- Experiments1
- GWAS1
- GWAS analysis1
- GWAS study1
- Genes1
- Genetics1
- Genome-wide association study1
- Heredity1
- Homology modeling1
- Homology modelling1
- Lab method1
- Lab techniques1
- Laboratory experiments1
- Laboratory method1
- Laboratory techniques1
- Medicine development1
- Medicines development1
- Molecular docking1
- Molecular modelling1
- Molecular structure1
- Omics1
- Structural bioinformatics1
- Structure analysis1
- Structure data resources1
- Structure databases1
- Structures1
- Show N_FILTERS more
-
-
-
Target audience
- Academics, post-graduate students, and anyone looking to learn this essential bioinformatics skill.1
- Graduates, postgraduates, and PIs, who are using, or planning to use, RNA-seq technology in their research and want to learn how to process and analyse RNA-seq data.1
- Graduates, postgraduates, and PIs, who are using, or planning to use, single cell RNA-seq technology in their research and want to learn how to process and analyse single cell RNA-seq data.1
- Graduates, postgraduates, and PIs, who are using, or planning to use, the statistical software R to manipulate and analyse NGS and other data in their research. This is an introductory level course: no prior experience of R is necessary before starting the workshop.1
- Graduates, postgraduates, and PIs, without any previous command-line experience, who want to learn to use the Linux command-line in order to be able to work with large data files.1
- Life Science Researchers1
- Master students1
- PhD Students1
- Post Docs1
- This course is for researchers who need to automate data analysis tasks for biological research involving next-generation sequence data, for example RNA-seq analysis, variant calling, CHIP-Seq, bacterial genome assembly, etc.1
- This course is intended for researchers who need to analyse genomic data in order to call genomic variants. Aside from a basic understanding of molecular biology, attendees must have a working knowledge of how to use the Linux BASH command line; our 1-day 'Linux for bioinformatics' course is a suitable background.1
- Show N_FILTERS more
-
-
-
Language
- English4
- Show N_FILTERS more
-
- Show all events
- Show past events
- Show disabled events