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Scientific topic
- Bioinformatics
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- NMR-based metabolomics8
- Bottom-up proteomics5
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- Proteomics5
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- Targeted proteomics5
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- AMR4
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Target audience
- Institutions and other external Institutions or individuals305
- Postdocs and Staff members from the University of Cambridge305
- Graduate students303
- Everyone is welcome to attend the courses15
- please review the policies.15
- Bioinformaticians and wet-lab biologists who can program10
- 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
- The course is aimed at biologists interested in microbiology7
- This workshop is aimed at researchers interested in proteins7
- network analysis7
- <span style="color:#FF0000">After you have booked a place6
- 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
- if you are unable to attend any of the live sessions and would like to work in your own time6
- including for registered university students.<span style="color:#FF0000">6
- please email the Team as Attendance will be taken on all courses. A charge is applied for non-attendance6
- protein-protein interactions and related areas6
- Biologists and bioinformaticians5
- Note that we will not cover specific topics in phylogenomics (whole-genome phylogenies) or bacterial genomics.5
- The course is open to Graduate students5
- 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
- Anyone who is using sequencing as part of their work and/or research.4
- Biologists4
- Familiarity with mass spectrometry or proteomics in general is desirable4
- Researchers who are applying or planning to apply image analysis in their research4
- Researchers who want to extract quantitative information from microscopy images4
- 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.4
- 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
- bioinformatics and other life scientists planning to work with next-generation sequencing data.4
- prokaryotic genomics and antimicrobial resistance.4
- wet-lab scientists4
- 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 module is suitable for researchers interested in gene expression analysis and visualisation3
- 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 researchers who need to undertake sequence searching as part of their work3
- analysis of complex microbiomes and antimicrobial resistance.3
- prokaryotic genomics3
- <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
- 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 course is aimed at researchers with no prior experience in the analysis of ChIP-seq data2
- 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
- Please review the policies.1
- 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 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
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Eligibility
- First come first served18
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