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Target audience
- Institutions and other external Institutions or individuals278
- Postdocs and Staff members from the University of Cambridge278
- Graduate students273
- Existing R users who are not familiar with dplyr and ggplot28
- Those with programming experience in other languages that want to know what R can offer them8
- Bioinformaticians and wet-lab biologists who can program7
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics6
- but who have not perhaps put this into practice since.6
- The course is open to Graduate students5
- Researchers who are applying or planning to apply image analysis in their research4
- Researchers who want to extract quantitative information from microscopy images4
- This course is aimed at researchers with an interest in metabolomics and its applications4
- 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.4
- This workshop is aimed at researchers interested in proteins4
- network analysis4
- protein-protein interactions and related areas4
- Biologists3
- The module is suitable for researchers interested in gene expression analysis and visualisation3
- This introductory course is aimed at biologists with little or no experience in machine learning.3
- This workshop is aimed at researchers who need to undertake sequence searching as part of their work3
- bioinformatics and other life scientists planning to work with next-generation sequencing data.3
- wet-lab scientists3
- <span style="color:#0000FF"> Non-members of the University of Cambridge to pay £575 </span style>2
- <span style="color:#0000FF">All Members of the University of Cambridge to pay £250 </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style>2
- <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">2
- Anyone wanting to use OMERO to organize2
- Biologists and bioinformaticians2
- Cytoscape will have to be downloaded and installed on your device for the practical sessions.2
- Facility Managers wanting to train users2
- Institutions and other external Institutions2
- Principal Investigators from the University of Cambridge2
- Students and researchers from life-sciences or biomedical backgrounds2
- Suitable for students and early career researchers2
- 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 tutorial is basic and requires no prior knowledge of any coding language or software.2
- This workshop is aimed at those who want to explore genetic variation data.2
- and for bioinformaticians wishing to search and analyse third party sequence data.2
- annotate and publish imaging data2
- or will shortly have2
- pathways and diseases.2
- postdocs.2
- the need to apply the techniques presented during the course to biomedical data.2
- view2
- who are using or planning to use bioinformatics in their research2
- who have2
- <span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee.1
- <span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Members of Industry to pay 575.00 GBP. </span style> <span style="color:#0000FF">All Members of the University of Cambridge1
- <span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Non-members of the University of Cambridge to pay £350. </span style> <span style="color:#0000FF">All Members of the University of Cambridge to pay £175. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style>1
- <span style="color:#FF0000">Please note that all participants attending this course will be charged a registration fee. <span style="color:#0000FF"> Non-members of the University of Cambridge to pay £400. </span style> <span style="color:#0000FF">All Members of the University of Cambridge to pay £200. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style>1
- Affiliated Institutions and other academic participants from External Institutions and Charitable Organizations to pay 250.00 GBP. </span style> <span style="color:#FF0000">A booking will only be approved and confirmed once the fee has been paid in full.</span style>1
- Anybody interested in using Jupyter and OMERO1
- Applicants are expected to have an interest in learning about bioinformatics and/or are in the beginning stages of using bioinformatics in their research with the need to develop their skills and knowledge further.1
- BioImage Analysts with some experience of basic microscopy image analysis1
- Bioinformaticians and wet-lab biologists who can program in Perl.1
- Biophysicists1
- Cell Biologists1
- Day1 is intended for biologists and computer scientists interested in using LithoGraphX. Some experience in imaging is desirable but not required.1
- Day2 is intended for computer scientists wanting either to write their own algorithm or automate complex protocols. Basic python knowledge and familiar with C++ are required.1
- Facility Managers using or1
- Life scientists with programming skills1
- No previous knowledge of programming is required for this course.1
- OMERO for image data management1
- PhD students1
- Researchers1
- Researchers from other disciplines may find the course useful1
- Researchers in the life sciences with little or no experience of cloud computing.1
- The course is aimed at biologists interested in microbiology1
- The course is targeted to either proteomics practitioners or data analysts/bioinformaticians that would like to learn how to use R to analyse proteomics data. Familiarity with mass spectrometry or proteomics in general is desirable1
- The handson component is aimed at novice to intermediate users who are seeking detailed guidance with GATK and related tools.1
- The lecture based component of the workshop is aimed at a mixed audience of people who are new to the topic of variant discovery or to GATK1
- The module is suitable for PhD students and PostDocs looking to build networks prior to ‘omics data analysis1
- The tutorial will be at an introductory level1
- The tutorial will be of interest to computational biologists who use1
- The workshop is aimed to biologists or computer scientists with little or no previous knowledge of Cytoscape1
- The workshop is suitable for anyone who wishes to find out what ontology is about1
- This course is aimed at individuals working across biological and biomedical sciences who have little or no experience in bioinformatics.1
- This course is aimed at individuals working across biological and biomedical sciences who have little to no experience in bioinformatics.1
- This course is appropriate for researchers who are relatively proficient with computers but maybe not had the time or resources available to become programmers.1
- This course is suitable for all users who have an interest in Clinical Genetics with a special emphasis on rare disorders. It is also pertinent to those who seek to develop a better understanding of the role of accurate phenotyping in aiding the interpretation of filtered variants in patients and understanding genotype-phenotype correlations.1
- This course is suitable for all users who have an interest in biomedical research and therapeutics. A special emphasis will be given on drug discovery and target validation. It will also be useful to those who seek for practical examples on how large-scale genomic experiments and computational techniques are integrated and visualised in a web platform.1
- This course is suitable for anyone who has an interest in biomedical and therapeutic research with a special emphasis on target identification and prioritisation1
- This course is suitable for anyone who has an interest in biomedical research and therapeutics with a special emphasis on drug discovery and target validation. It is also useful to those who wish to find out how large-scale genomic experiments1
- This course may be of interest to physical scientists looking to develop their knowledge of Python coding in the context of bioimage analysis1
- This hands-on event is suitable for anyone who has an interest in building data science workflows with different kinds of life science data.1
- This is aimed for life scientists with little or no experience in long-read sequencing that are looking at implementing these approaches in their research.1
- This module is suitable for researchers who wish to know more about the InterPro resource1
- This workshop is aimed at a wide variety of users1
- This workshop is aimed at anyone interested in finding out more about protein biology.1
- 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-RNA1
- This workshop is aimed at researchers who are looking for an overview of the bioinformatics resources provided by EMBL-EBI1
- This workshop is aimed at researchers who want to learn about pathways or identify pathways relevant to a set of molecules1
- This workshop is aimed at researchers who want to learn more about the UniProt resources1
- This workshop is aimed at researchers who wish to understand why data standards are important and how they can be used in practice1
- 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.1
- This workshop is suitable for researchers interested in different aspects of proteins including their sequences and functions.1
- analysis of complex microbiomes and antimicrobial resistance.1
- bioinformaticians and image analysts.1
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.1
- but should be aware that biological data will be used in some of the examples and exercises.1
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