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Scientific topic
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Venue
- Craik-Marshall Building102
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- University of Cambridge102
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Target audience
- Postdocs and Staff members from the University of Cambridge102
- Institutions and other external Institutions or individuals101
- Graduate students99
- 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
- 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
- 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
- The course is open to Graduate students3
- <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
- pathways and diseases.2
- <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">There is no fee charged for this event''<span style="color:#FF0000">.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
- 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
- Bioinformaticians1
- Bioinformaticians and Biologists who want to learn how to manipulate, process data, and make plots using R1
- Biologists1
- Biophysicists1
- Cell Biologists1
- 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
- Experimental Researchers1
- Graduate Students1
- Institutions and other external Institutions or individuals.1
- Life Science Researchers1
- Master students1
- No previous knowledge of programming is required for this course.1
- People from any area with little or no prior computational experience1
- PhD students1
- Research presentation1
- Researchers1
- The course is aimed at biologists interested in microbiology1
- 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. Familiarity with mass spectrometry or proteomics in general is desirable1
- The handson component is aimed at novice to intermediate users who are seeking detailed guidance with GATK and related tools.1
- The lecture based component of the workshop is aimed at a mixed audience of people who are new to the topic of variant discovery or to GATK1
- This course is aimed at individuals working across biological and biomedical sciences who have little or no experience in bioinformatics.1
- This course is aimed at individuals working across biological and biomedical sciences who have little to no experience in bioinformatics.1
- This course is appropriate for researchers who are relatively proficient with computers but maybe not had the time or resources available to become programmers.1
- This course is suitable for all users who have an interest in biomedical research and therapeutics. A special emphasis will be given on drug discovery and target validation. It will also be useful to those who seek for practical examples on how large-scale genomic experiments and computational techniques are integrated and visualised in a web platform.1
- This course is suitable for anyone who has an interest in biomedical and therapeutic research with a special emphasis on target identification and prioritisation1
- This course is suitable for anyone who has an interest in biomedical research and therapeutics with a special emphasis on drug discovery and target validation. It is also useful to those who wish to find out how large-scale genomic experiments1
- This course may be of interest to physical scientists looking to develop their knowledge of Python coding in the context of bioimage analysis1
- This hands-on event is suitable for anyone who has an interest in building data science workflows with different kinds of life science data.1
- This webinar is suitable for students and early career researchers in the Life Sciences.1
- analysis of complex microbiomes and antimicrobial resistance.1
- but not essential as we will walk through a MS typical experiment and data as part of learning about the tools.1
- cellular models of disease and computational techniques are used to identify and validate the causal links between targets1
- computational and statistical techniques are used to identify and validate the causal links between targets1
- early stages of drug discovery. It is also useful to those who wish to find out how large-scale genomic experiments1
- or who are already GATK users seeking to improve their understanding of and proficiency with the tools.1
- postdocs1
- prokaryotic genomics1
- seeking an introductory course into the tools1
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