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- University of Cambridge Bioinformatics Training812
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Keyword
- HDRUK790
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Scientific topic
- Bioinformatics404
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- Aerobiology91
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- Python20
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- Phylogenetics18
- Coding RNA15
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- Gene features15
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- LC-MS-based metabolomics15
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- Metabolites15
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- DNA methylation9
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- Chromosome walking7
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- MS-based untargeted proteomics7
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Venue
- Craik-Marshall Building806
- United Kingdom13
- Birmingham Metabolomics Training Centre10
- School of Biosciences - University of Birmingham9
- The King's Buildings, The University of Edinburgh8
- Earlham Institute (EI), Colney Lane7
- Online6
- Earlham Institute (EI), Colney Lane4
- University of Cambridge, Trinity Ln4
- Earlham Institute3
- Online, West Mains Road3
- College Court2
- Computational and Data Driven Science2
- University of Liverpool2
- 126 Mount Pleasant, 126, Mount Pleasant1
- Biosciences Building, Crown Street1
- DHEZ / Phoenix SW building, Off Shearbridge Road1
- Full location will be shared with invited participants. There will also be an opportunity to tour the NEOF Visitor Facility labs and hear about how they can be accessed for your research.1
- Health Data Research UK1
- Humboldt Universität zu Berlin - Berlin Adlershof Erwin Schrödinger-Zentrum Adlershof Rudower Chaussee 26 12489 Berlin [Site Plan](https://www.bauten.hu-berlin.de/de/esz/lage/esz_2017.pdf)1
- Kings Buildings, The University of Edinburgh, Easter Bush campus1
- Kings Buildings, The University of Edinburgh, Murchison House G07, Kings Buildings campus1
- Kings Buildings, The University of Edinburgh, Murchison House, Kings Buildings1
- L69 7ZX1
- Leuven1
- MSTC, Sherrington Building, University of Liverpool1
- Mövenpick Hotel Amsterdam City Centre, 11, Piet Heinkade1
- Norcroft Centre, University of Bradford, Richmond Road1
- Ospedale Policlinico San Martino, 10, Largo Rosanna Benzi1
- Park Plaza Cardiff, Greyfriars Road1
- Postdoc Centre, 16, Mill Lane1
- Richmond Building (RICH/WB19), University of Bradford, Richmond Road1
- Rothamsted Research1
- Seminar Room Institute of Applied Biosciences (INAB) Centre for Research & Technology - Hellas (CERTH) 6th km Charilaou - Thermis rd1
- Sherrington Building, Ashton Street, University of Liverpool1
- Small Lecture Theatre, MSI-WTB, School of Life Sciences, University of Dundee,1
- The Alan Turing Institute, 96, Euston Road1
- The King's Buildings, The University of Edinburgh, West Mains Road1
- University Place, University of Manchester1
- University of Dundee, Nethergate1
- University of Liverpool, Life Science Building, Crown Street1
- University of Manchester1
- University of Milano-Bicocca, Piazza dell'Ateneo Nuovo1
- University of Nottingham1
- Virtual Event1
- Wellcome Genome Campus1
- ZB MED - Informationszentrum Lebenswissenschaften, Standort Köln, 60 Gleueler Straße1
- online1
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Sponsor
- NERC28
- This course is funded as part of the UKRI Innovation Scholars. Data Science Training in Health and Bioscience call (DaSH). (MR/V038966/1)5
- ELIXIR3
- ELIXIR-UK2
- Merck2
- SSI1
- AIBIO1
- BioExcel1
- ELIXIR Training Platform1
- ELIXIR-CONVERGE1
- One Nucleus1
- Repositive1
- Software Sustainability Institute1
- UKRI1
- University of Dundee1
- University of Dundee PhD Program1
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Target audience
- Institutions and other external Institutions or individuals570
- Postdocs and Staff members from the University of Cambridge570
- Graduate students569
- Everyone is welcome to attend the courses98
- please review the policies.97
- 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.39
- This course is included as part of several DTP and MPhil programmes30
- Institutions and other external Institutions or individuals 24
- Postdocs and Staff members from the University of Cambridge24
- <span style="color:#FF0000">After you have booked a place22
- if you are unable to attend any of the live sessions and would like to work in your own time22
- including for registered university students.<span style="color:#FF0000">22
- please email the Team as Attendance will be taken on all courses. A charge is applied for non-attendance22
- This course is aimed at students and researchers of any background.21
- We assume no prior knowledge of what a HPC is or how to use it.21
- 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.16
- 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
- PhD students12
- This course is open to everyone who is interested. Have a look at our guidelines.12
- Existing R users who are not familiar with dplyr and ggplot211
- The course is aimed at biologists interested in microbiology11
- Those with programming experience in other languages that want to know what R can offer them11
- Bioinformaticians and wet-lab biologists who can program10
- This course is - in abbreviated form - included as part of several DTP and MPhil programmes9
- Researchers8
- 2025/26 Wellcome Sanger Institute student cohort and staff members7
- Anyone who is using sequencing as part of their work and/or research.7
- Note that we will not cover specific topics in phylogenomics (whole-genome phylogenies) or bacterial genomics.7
- Researchers who are applying or planning to apply image analysis in their research7
- 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).7
- This workshop is aimed at researchers interested in proteins7
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.7
- network analysis7
- Familiarity with mass spectrometry or proteomics in general is desirable6
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics6
- 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.6
- but who have not perhaps put this into practice since.6
- prokaryotic genomics and antimicrobial resistance.6
- protein-protein interactions and related areas6
- Attendees of our training courses on specific applications (e.g. RNA-seq5
- Biologists5
- Biologists and bioinformaticians5
- ChIP-seq5
- HPC users who would like to learn how to manage software and automate and parallelise analyses using available pipelines.5
- It may be particularly useful for those who have attended other 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.5
- No prior experience in the analysis of these types of data is required.5
- Researchers who are starting to run bioinformatics analysis on their own.5
- The course is open to Graduate students5
- This course is aimed at researchers with an interest in metabolomics and its applications.5
- analysis of complex microbiomes and antimicrobial resistance.5
- etc.) will greatly benefit from this course.5
- post-docs5
- prokaryotic genomics5
- variant calling5
- 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.4
- Novice users of HPC and anyone who expects to need to use HPC systems at some stage 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 workshop is aimed at researchers who need to undertake sequence searching as part of their work4
- bioinformatics and other life scientists planning to work with next-generation sequencing data.4
- or who need to search against several biological datasets to gain knowledge of a gene/gene set4
- wet-lab scientists4
- <span style="color:#FF0000">There is no fee charged for this event''<span style="color:#FF0000">.3
- Academics3
- Bioinformaticians3
- 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.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
- Postdocs and other Research Staff from the University of Cambridge3
- Students who have some basic familiarity with Python. There are no prerequisites for knowledge of biology or statistics. The course is designed for those who want to learn how to apply unsupervised machine learning techniques to real-world datasets. Please review the policies3
- The course is aimed at <b>bench biologists and bioinformaticians</b> 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
- The course is open to Postdocs and Staff members from the University of Cambridge3
- 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 targeted at life scientists who would like to explore how AI chatbots can be used to support their data analysis3
- 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
- bioinformaticians3
- pathways and diseases.3
- programming and bioinformatics tasks.3
- 2025-26 SBS MPhil cohort2
- <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
- All CCRIT (formerly BTF) trainers2
- All postgraduates2
- Anyone wanting to use OMERO to organize2
- Applicants are expected to have a working knowledge of R.2
- Beginners2
- 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
- Clinical Scientists2
- 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
- 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 <b>registration fee</b>. The fees are as follows:2
- Industry professionals, and people with a keen interest in the subject.2
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Language
- English68
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