RNAseq Data Analysis Course, Cambridge University Bioinformatics Training Facility, March 2019 - bioinformatics-core-shared-training/RNAseq_March_2019 - Select training provider - (Bioinformatics) Select training provider: All providers Amicus Training Bioinformatics Cambridge Admissions Office Cambridge Centre for Teaching and Learning Cambridge Digital Humanities Following the above links, you will find detailed information on our courses and you will be able to book a place, or register your interest for an event, through the University Training Booking System. Training Access a wealth of world-leading training in bioinformatics and scientific service provision, regardless of your career stage or sector. Apply to Bioinformatics jobs now hiring in Cambridge on Indeed.co.uk, the world's largest job site. This training is required across a wide variety of audiences, but varies in the level of detail and content that needs to be delivered. Although some of them are already fully booked, we encourage registering as you will be added to the waiting list and notified when a … web browser if you wish but then our site may not work correctly. Many of these are classroom-based courses run in partnership with the University’s Bioinformatics Training Facility with an emphasis on hands-on, practical-based learning. you use our web site. Such training targets primarily life scientists, at graduate and postgraduate level, and covers three major areas: Courses are led by trainers from the University of Cambridge and collaborating institutions, including the European Bioinformatics Institute, the Wellcome Trust Sanger Institute and the Babraham Institute. Introduce best practices with regards to … Please subscribe to our mailing list to receive emails about upcoming courses. It offers a broad range of undergraduate and postgraduate hands-on training courses focused on The bioinformatics courses on offer are now consistently described so that you can easily find out who is a course aimed at, what will it cover, what you should be able to do after attending a course and any prerequisite. Courses providing an introduction to programming languages, statistics and best programming practices, Courses focusing on how to get the most out of publicly available biological data and resources, Courses covering analysis methodologies for a wide range of data types. The student will be working on collaborative projects co-led by departmental supervisors and AstraZeneca scientists. Bioinformatics is an official journal of the International Society for Computational Biology, the leading professional society for computational biology and bioinformatics. Deadline for booking is 1 November 2018 Venue The course will be held at the Bioinformatics Training Facility located in Craik-Marshall Building, Downing Site, University of … set additional cookies to perform their analysis.These cookies (and any Visit the Graduate Admissions web site for more information on our Masters and PhD programmes. We provide training in the areas of bioinformatics and computational biology through short, intense practical courses. others in use) are detailed in our site privacy and cookie policies and are This site provides a central point for staff and students of the University and its Colleges to search for and book onto a variety of training courses run by participating University training providers. We offer a broad range of undergraduate and postgraduate hands-on training courses focused on bioinformatics and computational biology. You can delete or disable these cookies in your Members of the society receive a 15% discount on article Wellcome - MRC Cambridge Stem Cell Institute Research Core Facilities Electron Microscopy BioInformatics Genomics Flow Cytometry Histology Imaging Real Time PCR Single Cell Platforms Tissue Culture Research Culture web browser if you wish but then our site may not work correctly. We may use cookies to record some preference settings and to analyse how The course has been developed by the Cambridge Computational Biology Institute and is run by the Department of Applied Mathematics and Theoretical Physics. Constructive collaborations can be built by sharing experiences also at the level of Bioinformatics training. The pace of change has inspired new collaborative a 1 The Genome Analysis Centre, Norwich, 2 ELIXIR, Wellcome Trust Genome Campus, Hinxton, UK, 3 The Swedish University for Agricultural Sciences, Uppsala, Sweden, 4 European Molecular Biology Laboratory, Heidelberg, … Statistics are an important part of most modern studies and being able to effectively use a statistics package can help you to understand your results. Bioinformatics Training Department of Genetics University of Cambridge Downing Street Cambridge CB2 3EH United Kingdom Information provided by: [email protected] This course provides an introduction to statistics illustrated though the use of the R language. The Cambridge Computational Biology Institute (CCBI), based in the Centre for Mathematical Sciences, has relevant Masters and PhD programmes, with faculty drawn from medicine, biology and physical sciences. The Facility offers over 35 different training courses in 'basic skills and programming', 'databases and services' and 'specialized training'. These training activities aim at enabling life scientists to effectively handle and interpret biological data. integral to our web site. An introduction to solving biological problems with Python, High Performance Computing: An Introduction, Introduction to working with UNIX and bash, Bioinformatics resources for protein biology, Biological data analysis using InterMine (User Interface and API), COSMIC: Integrating and interpreting the world’s knowledge of somatic mutations in cancer, EMBL-EBI: An introduction to sequence searching, EMBL-EBI: Bioinformatics resources for exploring disease related data, EMBL-EBI: Introduction to the European Nucleotide Sequence Archive, EMBL-EBI: Network analysis with Cytoscape and PSICQUIC, EMBL-EBI: Ontologies in life sciences - examples from GO and EFO, EMBL-EBI: Protein Sequence Databases with UniProt, Open Targets: Integrating genetics and genomics for disease biology and translational medicine, An Introduction to Data Exploration, Experimental Design, and Biomarker Expression Analysis using JMP Software Tools, Analysis of DNA methylation using sequencing, Bioinformatics for Biologists: An introduction to Data Exploration, Statistics, and Reproducibility, Bioinformatics for Principal Investigators, Data Science: Machine learning applications for life sciences, Exploring, visualising and analysing proteomics data in R, Extracting biological information from gene lists, Introduction to metabolomics and its application in life-sciences, KNIME: Practical introduction to KNIME Analytics platform and its application in bioinformatics, Ontologies and ontology-based data analysis, R object-oriented programming and package development, Transcriptome Analysis for Non-Model Organisms, Using CellProfiler and CellProfiler Analyst to analyse biological images, Cambridge Computational Biology Institute. 2nd - 4th September 2019 Bioinformatics Training Room, Craik-Marshall Building, Downing Site, University of Cambridge An introduction to solving biological problems with Python, High Performance Computing: An Introduction, Introduction to working with UNIX and bash, Bioinformatics resources for protein biology, Biological data analysis using InterMine (User Interface and API), COSMIC: Integrating and interpreting the world’s knowledge of somatic mutations in cancer, EMBL-EBI: An introduction to sequence searching, EMBL-EBI: Bioinformatics resources for exploring disease related data, EMBL-EBI: Introduction to the European Nucleotide Sequence Archive, EMBL-EBI: Network analysis with Cytoscape and PSICQUIC, EMBL-EBI: Ontologies in life sciences - examples from GO and EFO, EMBL-EBI: Protein Sequence Databases with UniProt, Open Targets: Integrating genetics and genomics for disease biology and translational medicine, An Introduction to Data Exploration, Experimental Design, and Biomarker Expression Analysis using JMP Software Tools, Analysis of DNA methylation using sequencing, Bioinformatics for Biologists: An introduction to Data Exploration, Statistics, and Reproducibility, Bioinformatics for Principal Investigators, Data Science: Machine learning applications for life sciences, Exploring, visualising and analysing proteomics data in R, Extracting biological information from gene lists, Introduction to metabolomics and its application in life-sciences, KNIME: Practical introduction to KNIME Analytics platform and its application in bioinformatics, Ontologies and ontology-based data analysis, R object-oriented programming and package development, Transcriptome Analysis for Non-Model Organisms, Using CellProfiler and CellProfiler Analyst to analyse biological images, High Performance Computing at the University of Cambridge, Open access at the University of Cambridge, Bioinformatics training at the Babraham Institute, Collection of high-throughput sequencing training materials. 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