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- as well as other departmental training within the University of Cambridge (potentially under a different name) so participants who have attended statistics training elsewhere should check before applying.29
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- including for registered university students.22
- please email the Team as Attendance will be taken on all courses. A charge is applied for non-attendance22
- This is aimed at life scientists with little or no experience in machine learning and that are looking at implementing these approaches in their research.16
- It may be particularly useful for those who have attended other Facility Courses and now need to process their data on a Linux server. It will also benefit those who find themselves using their personal computers to run computationally demanding analysis/simulations and would like to learn how to adapt these to run on a HPC.15
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- but who have not perhaps put this into practice since.6
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- Note that we will not cover specific topics in phylogenomics (whole-genome phylogenies) or bacterial genomics.5
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- This course is aimed at researchers with no prior experience in phylogenetic analysis who would like an introduction to the foundations of building phylogenies from relatively small sequences (viral genomes and/or targeted regions of eukaryotic genomes).5
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.5
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- or who need to search against several biological datasets to gain knowledge of a gene/gene set4
- prokaryotic genomics and antimicrobial resistance.4
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- There is no fee charged for this event''.3
- 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.3
- 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.3
- 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.3
- Institutions and other external Institutions or individuals.3
- Institutions and other external institutions or individuals.3
- No prior experience in the analysis of these types of data is required.3
- Postdocs and other Research Staff from the University of Cambridge3
- The course is aimed at bench biologists and bioinformaticians who need to analyse their own data against large biological datasets3
- The course is aimed at people at postgraduate level who are involved in research.3
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- The module is suitable for researchers interested in gene expression analysis and visualisation3
- The workshop is aimed to biologists or computer scientists with little or no previous knowledge of Cytoscape3
- This course is aimed at researchers with an interest in metabolomics and its applications.3
- This introductory course is aimed at biologists with little or no experience in machine learning.3
- This workshop is aimed at students on the Rare Diseases and Experimental Medicine MPhil courses at the University of Cambridge. Students from the wider clinical sciences group are also able to attend subject to space being available.3
- Undergraduate students3
- analysis of complex microbiomes and antimicrobial resistance.3
- bioinformaticians3
- pathways and diseases.3
- prokaryotic genomics3
- Non-members of the University of Cambridge to pay £575 2
- All Members of the University of Cambridge to pay £250 A booking will only be approved and confirmed once the fee has been paid in full.2
- There is no fee charged for this event''2
- Anyone wanting to use OMERO to organize2
- Applicants are expected to have a working knowledge of R.2
- Biological sciences research students and postdocs who may want to use HPC in their research. Please note that Biochemistry first year graduate students book this course via their Moodle site not here.2
- Cytoscape will have to be downloaded and installed on your device for the practical sessions.2
- Facility Managers wanting to train users2
- Further details regarding eligibility criteria are available here2
- 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.2
- Guidance on visiting Cambridge and finding accommodation is available here. <div class="heading">Bookings and fees</div> Please note that all participants attending this course will be charged a registration fee. The fees are as follows:2
- Institutions and other external Institutions2
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- Part of CRUK Bioinformatics Summer School:Unix and R Foundations 20222
- Participants organised through CRUK Cambridge Centre2
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- Please review the policies.2
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- The course is recommended for all staff and students who use Linux in their research or plan on attending the CI High Performance Computing facilities (Cluster) course.2
- The workshop is suitable for scientists that are producing sequence data and require a platform to publish it2
- This course is aimed at researchers with no prior experience in the analysis of ChIP-seq data2
- This course is for researchers from a broad biological background as the techniques learned can be applied to any InterMine database2
- 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.2
- This tutorial is basic and requires no prior knowledge of any coding language or software.2
- This webinar is suitable for students and early career researchers with interest in Genomics2
- This workshop is aimed at researchers who are either generating or integrating molecular interaction data in their research. This could be protein-protein interaction as well as protein-RNA2
- This workshop is aimed at researchers who are looking for an overview of the bioinformatics resources provided by EMBL-EBI2
- This workshop is aimed at researchers who want to learn about pathways or identify pathways relevant to a set of molecules2
- This workshop is aimed at researchers who want to learn more about the UniProt resources2
- This workshop is aimed at researchers who wish to understand why data standards are important and how they can be used in practice2
- This workshop is aimed at researchers who wish to use and submit functional genomics data. This workshop will not however cover the analysis of such data.2
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841 events found

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Linear mixed effects models (IN-PERSON)

15 - 16 July 2025

Cambridge, United Kingdom

Face-to-face
HDRUK

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Linear mixed effects models (IN-PERSON)