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• • Content provider
  • University of Cambridge Bioinformatics Training8
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• • Keyword
  • HDRUK8
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• • Scientific topic
  • Bioinformatics
  • Aerobiology8
  • Behavioural biology8
  • Biological rhythms8
  • Biological science8
  • Biology8
  • Chronobiology8
  • Cryobiology8
  • Data rendering8
  • Data visualisation8
  • Reproductive biology8
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• • Event type
  • Workshops and courses8
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• • Venue
  • Craik-Marshall Building8
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• • City
  • Cambridge8
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  • United Kingdom8
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• • Organizer
  • University of Cambridge8
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• • Target audience
  • Those with programming experience in other languages that want to know what R can offer them
  • Institutions and other external Institutions or individuals278
  • Postdocs and Staff members from the University of Cambridge278
  • Graduate students273
  • Biologists21
  • PhD students16
  • bioinformaticians15
  • Researchers11
  • Existing R users who are not familiar with dplyr and ggplot28
  • Bioinformaticians and wet-lab biologists who can program7
  • Biologists, Genomicists, Computer Scientists7
  • Life Science Researchers6
  • 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
  • post-docs6
  • The course is open to Graduate students5
  • Molecular Biologists4
  • Pathologists4
  • Plant research4
  • 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
  • Anyone intersted in GWAS and using the H3Africa genotyping chip3
  • Bioinformaticians3
  • Biomedical researchers3
  • Students and researchers from life-sciences or biomedical backgrounds3
  • 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
  • health professionals2
  • <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
  • Academics2
  • Anyone wanting to use OMERO to organize2
  • Biologists and bioinformaticians2
  • Biophysicists2
  • Clinical Scientists2
  • Computational biologists2
  • Cytoscape will have to be downloaded and installed on your device for the practical sessions.2
  • Developers2
  • Facility Managers wanting to train users2
  • Graduate Students2
  • Institutions and other external Institutions2
  • Master students2
  • PhD and graduate students, young researchers and PIs in the life science and computational biology field2
  • Principal Investigators from the University of Cambridge2
  • 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
  • data managers2
  • or will shortly have2
  • pathways and diseases.2
  • postdocs2
  • 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
  • All Audiences1
  • Anybody interested in using Jupyter and OMERO1
  • Anyone who wants to learn more about GWAS1
  • 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 Biologists who want to learn how to manipulate, process data, and make plots using R1
  • Bioinformaticians and wet-lab biologists1
  • Bioinformaticians and wet-lab biologists who can program in Perl.1
  • Bioinformatics beginners 1
  • Biologists and bioinformaticians who are dealing with high-throughput gene expression data or other high-throughput data and would like to learn state-of-the-art methods for mining and analysing such data.1
  • Biologists and bioinformaticians. The course will be of particular interest to researchers investigating organisms without a reference genome or populations featuring high levels of genetic diversity.1
  • Cell Biologists1
  • Clinicians1
  • Companies 1
  • Computer science1
  • Core Facility Managers1
  • 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
  • DevOps in any field1
  • Experimental Researchers1
  • Facility Managers using or1
  • HPC users1
  • Life scientists with programming skills1
  • No previous knowledge of programming is required for this course.1
  • OMERO for image data management1
  • PhD Students1
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• • Node
  • United Kingdom8
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