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  • H3Africa genotyping array3
  • African populations2
  • Bioinformatics2
  • GWAS workflow2
  • Genome Wide Association Studies2
  • Genotype calling2
  • H3ABioNet2
  • H3ABioNet GWAS 2018 Lecture Series2
  • Nextflow2
  • Population Genomics2
  • Africa1
  • Annotations1
  • Array processing1
  • Cloud computing1
  • Convert to PLINK format 1
  • Discordant Sex information1
  • Docker1
  • File formats1
  • GWAS1
  • Genome Studio1
  • Genotype array probes1
  • Genotyping1
  • Genotyping array analysis 1
  • Genotyping rate call1
  • Hardy Weinberg Equilibrium1
  • Heterozygosity rate1
  • High performance computing1
  • Identity by Descent1
  • Illumina arrays1
  • Intensities1
  • Low minor allele frequency1
  • Missingness1
  • Non-polymorphic1
  • PLINK format1
  • Principal Component Analysis1
  • Quality Control for GWAS1
  • Related and duplicate individuals1
  • Reproducible Science1
  • SNP Quality Control1
  • Sample Quality Control1
  • Top/Bottom annotation1
  • Workflows1
  • bioinformatics1
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• • Scientific topic
  • Bioinformatics
  • Genotyping experiment4
  • Population genomics4
  • Biomathematics3
  • Computational biology3
  • GWAS3
  • GWAS analysis3
  • GWAS study3
  • Genome-wide association study3
  • Mathematical biology3
  • Theoretical biology3
  • Population genetics2
  • Exomes1
  • Genome annotation1
  • Genomes1
  • Genomics1
  • Personal genomics1
  • Pipelines1
  • Software integration1
  • Synthetic genomics1
  • Tool integration1
  • Tool interoperability1
  • Viral genomics1
  • Whole genomes1
  • Workflows1
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• • Event type
  • Workshops and courses3
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• • Sponsor
  • H3ABioNet3
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• • Target audience
  • Anyone intersted in GWAS and using the H3Africa genotyping chip
  • Institutions and other external Institutions or individuals305
  • Postdocs and Staff members from the University of Cambridge305
  • Graduate students303
  • Biologists22
  • Everyone is welcome to attend the courses15
  • PhD students15
  • bioinformaticians15
  • please review the policies.15
  • Researchers12
  • Bioinformaticians and wet-lab biologists who can program10
  • Wet-lab researchers and bioinformaticians9
  • 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
  • Biologists, Genomicists, Computer Scientists7
  • 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
  • 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
  • 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
  • post-docs6
  • 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
  • Familiarity with mass spectrometry or proteomics in general is desirable4
  • Molecular Biologists4
  • Pathologists4
  • 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
  • Bioinformaticians3
  • Bioinformaticians and wet-lab biologists who can program in Python or R.3
  • Biomedical researchers3
  • 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
  • postdocs.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
  • Beginner2
  • Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.2
  • Bioinformaticians and wet-lab biologists who can program in Perl.2
  • Biophysicists2
  • Cette formation est destinée aux biologistes (ingénieurs, doctorants, chercheurs, enseignants-chercheurs, praticiens…) confrontés à l’analyse de données NGS, et qui ne disposent pas des compétences bioinformatiques suffisantes.2
  • 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
  • PhD candidates2
  • Principal Investigators from the University of Cambridge2
  • Researcher in life sciences2
  • 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 individuals working across life sciences who have little or no experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their knowledge and skills further. No previous knowledge of programming is required for this course; group projects may give you the opportunity to learn basic programming, but participants will be supported in this by their mentors. Depending on your chosen project, an introductory programming tutorial may be given as homework prior to attending the course.2
  • 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
  • data managers2
  • health professionals2
  • or will shortly have2
  • pathways and diseases.2
  • postdoc2
  • 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
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