- Home
- Events
Filters
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Content provider
- Birmingham Metabolomics Training Centre1
- Show N_FILTERS more
-
-
-
Keyword
- Data analysis
- Machine Learning, Introductory, Novice / Entry-level, Supervised learning, Unsupervised learning, Principal Component Analysis, K-means, Hierarchical Clustering, Decision Trees, Random Forest, Regression2
- Bioinformatics1
- Biomarker Conference1
- Biomarker Conference 20171
- Biomarkers Conference 20171
- Biomarkers Conferences1
- Biomarkers Conferences USA1
- Biomarkers Congress USA1
- Biopharmaceuticals1
- ClinicalPharmacology1
- Data processing1
- Machine Learning1
- Medicine1
- Metabolomics1
- PersonalizedMedicine1
- Pharmacogenomics1
- Precision Medicine1
- Python Programming1
- biomedicine1
- Show N_FILTERS more
-
-
-
Target audience
- Scientists
- PhD students6
- Beginner3
- PhD candidate3
- Biologists2
- Life Science Researchers2
- Researchers2
- This course is aimed at individuals working across life sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course.2
- post-docs2
- Biotechnology Companies1
- Business Entrepreneurs1
- Graduate students1
- Master students1
- PhD candidates1
- PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
- Pharmaceutical Industry1
- Postdoctoral Researchers1
- Researcher in life sciences1
- This course is aimed at individuals working across biological sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their skills and knowledge further. No previous knowledge of programming / coding is required for this course.1
- 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
- post-doctoral researchers and principle investigators working in wet-lab biology. Participants who are looking for a basic introduction to the bioinformatics resources offered by the EMBL-EBI and want to know more about accessing biological data and tools.1
- postdoc1
- postdocs.1
- postdoctoral researchers1
- postgrad1
- principle investigators1
- Show N_FILTERS more
-
- Only show online events
- Hide past events
- Show disabled events