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Keyword
- Variant calling5
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Scientific topic
- Bioinformatics15
- High-throughput sequencing6
- Biological sequences5
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Operation
- Allele calling3
- Exome variant detection3
- Genome variant detection3
- Germ line variant calling3
- Mutation detection3
- Somatic variant calling3
- Variant calling3
- Variant mapping3
- de novo mutation detection3
- Alternative splicing analysis1
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Venue
- Branišovská 1160/31, 31, Branišovská1
- De Duve Institute UCLouvain, 75, Avenue Hippocrate1
- Instituto Gulbenkian de Ciência (IGC), 6, Rua Quinta Grande1
- La Pedrera, 92, Passeig de Gràcia1
- Le Corum Palais des Congrès - Opéra Berlioz, Esplanade Charles De Gaulle1
- MSTC, Sherrington Building, University of Liverpool1
- Online1
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- Stavros Niarchos Foundation Cultural Center, 364, Leoforos Andrea Siggrou1
- UCLL Campus Gasthuisberg, 49, Herestraat1
- University of Turin, Molecular Biotechnology Center1
- Via Nizza, 521
- Via Nizza, 52 Molecular Biotechonology Center, University of Turin1
- Virtual (Slack)1
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Organizer
- Australian BioCommons8
- ecSeq Bioinformatics GmbH3
- BioExcel2
- Institut Français de Bioinformatique (IFB)2
- B&Gu, University of Turin, EuroClone 1
- BITS2018/ELIXIR-IIB1
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- Dr Jim Procter and Dr Dan Rigden1
- ELIXIR Sweden (NBIS) and ELIXIR Slovenia1
- ELIXIR-IIB, CNR, University of Turin 1
- Galaxy Community and ELIXIR1
- Hellenic Society for Computational Biology1
- Institute of Plant Molecular Biology building at the Academy of Sciences and University campus in České Budějovice1
- Pedro Fernandes1
- Stijn Wittouck and Sander Wuyts1
- UCT Prague1
- University of Ljubljana, Faculty of Medicine1
- ecseq Bioinformatics GmbH1
- [email protected]1
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Target audience
- bioinformaticians
- Graduate students865
- Institutions and other external Institutions or individuals570
- Postdocs and Staff members from the University of Cambridge570
- PhD students355
- Academics293
- Industry291
- PhD287
- Researchers133
- Everyone is welcome to attend the courses55
- please review the policies.54
- Life Science Researchers48
- Biologists35
- 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.29
- This course is included as part of several DTP and MPhil programmes24
- <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
- Beginner20
- Master students20
- PhD Students18
- life scientists17
- post-docs17
- All postgraduates16
- 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
- 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.15
- Students15
- This course is aimed at students and researchers of any background.15
- We assume no prior knowledge of what a HPC is or how to use it.15
- mixed audience15
- PhD candidates14
- Professors13
- Bioinformaticians and wet-lab biologists who can program12
- Biologists, Genomicists, Computer Scientists11
- Existing R users who are not familiar with dplyr and ggplot211
- Graduate Students11
- Those with programming experience in other languages that want to know what R can offer them11
- PhD candidate10
- Post Docs9
- Wet-lab researchers and bioinformaticians9
- data steward / data manager9
- Bioinformaticians8
- Technicians8
- data managers8
- data stewards8
- postdoctoral researchers8
- Beginners7
- Researchers who are applying or planning to apply image analysis in their research7
- The course is aimed at biologists interested in microbiology7
- This workshop is aimed at researchers interested in proteins7
- Undergraduate students7
- network analysis7
- Clinicians6
- Postdoctoral Researchers6
- Postdoctoral researchers6
- Postgraduate students6
- Senior scientist/ Principal investigator6
- The course is aimed primarily at mid-career scientists – especially those whose formal education likely included statistics6
- Trainers6
- Training Designers6
- but who have not perhaps put this into practice since.6
- protein-protein interactions and related areas6
- researchers6
- Biologists and bioinformaticians5
- Data Managers5
- Engineers5
- Life sciences5
- Masters students5
- Note that we will not cover specific topics in phylogenomics (whole-genome phylogenies) or bacterial genomics.5
- Postdoctoral Fellows5
- The course is open to Graduate students5
- This course is - in abbreviated form - included as part of several DTP and MPhil programmes5
- 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
- Training instructors5
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.5
- project manager5
- software developers, bioinformaticians5
- Anyone intersted in GWAS and using the H3Africa genotyping chip4
- Anyone who is using sequencing as part of their work and/or research.4
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.4
- Biomedical researchers4
- DMP writers4
- Data stewards4
- Early Career Researcher4
- Early Career Researchers (ECRs)4
- Familiarity with mass spectrometry or proteomics in general is desirable4
- Life Scientists4
- Molecular Biologists4
- Novice users of HPC and anyone who expects to need to use HPC systems at some stage in their research4
- PI4
- Pathologists4
- Post docs4
- Principal Investigators4
- Researcher in life sciences4
- Researchers who want to extract quantitative information from microscopy images4
- Scientists4
- 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 workshop is aimed at researchers who need to undertake sequence searching as part of their work4
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