Host-microbe symbioses â old friends and foes
19 July - 1 August 2015
Lisbon, PolandHost-microbe symbioses â old friends and foes http://www.euca-excellence.eu/index.php/current-and-future-courses/lisbon-2015-evolutionary-biology https://tess.elixir-europe.org/events/host-microbe-symbioses-a-old-friends-and-foes 2015-07-19 01:00:00 UTC 2015-08-01 01:00:00 UTC Lisbon, Poland Lisbon Poland Physiology Metagenomics    workshops_and_courses  
Interpreting the clinical genome with DECIPHER
8 July 2016
Cambridge, United KingdomInterpreting the clinical genome with DECIPHER http://training.csx.cam.ac.uk/bioinformatics/event/1734472 https://tess.elixir-europe.org/events/interpreting-the-clinical-genome-with-decipher [DECIPHER](https://decipher.sanger.ac.uk/) is a collaborative data sharing and interpretation platform that enables the secure upload, analysis and subsequent sharing of anonymised phenotype-linked patient variant data in rare genetic disorders. DECIPHER is a worldwide user community of over 250 clinical genetics centres and research groups from over 40 countries that utilise the built-in tools for aiding the interpretation of variants as well as to discover other patients that share similar phenotype and genomic findings. DECIPHER facilitates collaboration and exchange of information between a global community of clinical centers and researchers leading thereby accelerating discovery and diagnosis. Access to consented anonymised records is free to all users. User accounts are provided to bona-fide clinicians and lab scientists to enable deposition and sharing of anonymised patient data. The purpose of this half-day workshop is to acquaint participants with the DECIPHER website and database and introduce the various built-in tools for visualisation and interpretation of phenotype-linked genomic variation in anonymised consented patient data. It is hoped that by the end of this workshop, users will be able to carry out effective searches of data, use the built-in genome browser to visualise variation in context of other pathogenic and reference data sources, find other patients with similar variants and shared phenotypes, and identify most likely causes of phenotypic presentation by gene prioritisation. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to Book or register Interest by linking [here](http://marstons.bio.cam.ac.uk/course-booking/?CourseID=Interpreting%20the%20clinical%20genome%20with%20DECIPHER_bioinfo-dec_08.07.2016_1734472&CourseName=Interpreting%20the%20clinical%20genome%20with%20DECIPHER&CourseDate=08.07.2016&CourseDuration=0.5&EventID=1734472).'' 2016-07-08 08:30:00 UTC 2016-07-08 11:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Rare diseases Genotype and phenotype Genomics Bioinformatics University of Cambridge Bioinformatics Training  This course is suitable for all users who have an interest in Clinical Genetics with a special emphasis on rare disorders. It is also pertinent to those who seek to develop a better understanding of the role of accurate phenotyping in aiding the interpretation of filtered variants in patients and understanding genotype-phenotype correlations.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses  HDRUK
International Symposium: Rare diseases and big data, from research to clinical practise
26 - 27 October 2017
Barcelona, SpainInternational Symposium: Rare diseases and big data, from research to clinical practise http://bioinformaticsbarcelona.eu/events/35/international-symposium-rare-diseases-and-big-data-from-research-to-clinical-practise https://tess.elixir-europe.org/events/international-symposium-rare-diseases-and-big-data-from-research-to-clinical-practise A rare disease is any disease that affects a small percentage of the population, however a high percentage of population can be involved, in fact the World Health Organization (WHO) consider 7000 rare diseases, affecting 7% of the population. Three million people with rare disease are estimated in Spain. The principal challenges regarding rare diseases nowadays include: The difficulty in clinical and molecular diagnosis. A specific clinical multidisciplinary management due to heterogeneity of the diseases. Persistent comorbidities, physical and cognitive after cure of the disease. Effective and safe therapies that can cure the disease and delay comorbidities, improving long-term prognosis. The volume data on rare diseases has grown steadily in recent years, for this reason it needs a specific technology to handle them. This symposium will focus on diagnostic and therapeutic advances in relation to rare diseases and big data and will allow interaction between national and international experts on the subject. The proposed topics, as well as invited speakers, are relevant internationally and are aimed at improving the final prognosis and quality of life of patients with rare diseases through the technology offered by big data. One of the aims of the symposium is also creating a working group that will aim to find new drugs for rare diseases. The symposium will cover the state of the art in the clinical management of these diseases, as well as current research and future perspectives, including pathogenesis, epidemiology, therapeutic novelties, long-term prognosis with residual morbidity, quality of life and drug-economic aspects in the management of these diseases. Its main objective will be to transmit to society the advantages and opportunities offered by big data technology to advance the diagnosis and design of new drugs that benefit the patient. The access to the symposium will be free and there will also be present patients' associations, students, general population, research centers, nurses, and universities, making it more interactive and educational. International Symposium: Rare diseases and big data, from research to clinical practise Free registration: fill out the registration form before 26 October 2017 Dates: 26-27 October 2017 Venue: CosmoCaixa Sala Àgora (C/ Isaac Newton 26, Barcelona, Spain) Organizers: Bioinformatics Barcelona Association (BIB) and Fundación Ramon Areces With the collaboration of: "la Caixa" Foundation and CIBERER 2017-10-26 09:00:00 UTC 2017-10-27 18:00:00 UTC Bioinformatics Barcelona Carrer d'Isaac Newton, 26, 26, Carrer d'Isaac Newton, Barcelona, Spain Carrer d'Isaac Newton, 26, 26, Carrer d'Isaac Newton Barcelona Barcelona Spain Rare diseases     first_come_first_served 
Introduction to metagenomics (ONLINE LIVE TRAINING)
6 - 7 May 2020
Cambridge, United KingdomIntroduction to metagenomics (ONLINE LIVE TRAINING) http://training.csx.cam.ac.uk/bioinformatics/event/3331686 https://tess.elixir-europe.org/events/introduction-to-metagenomics PLEASE NOTE that until further notice, due to the evolving situation with Coronavirus no courses will be offered as classroom based at the Training Facility. The Bioinformatics Team be teaching the course live online, with tutors available to help you work through the course material on a personal copy of the course environment. We will be aiming to simulate the classroom experience as closely as possible, with opportunities for one-to-one discussion with tutors and a focus on interactivity throughout. This two days course will focus on the theory and applications of metagenomics, for the analysis of complex microbiomes (microbial communities). The course will include theoretical (~40%) and practical (~60%) training. We will start with the fastest, simplest and cheapest amplicon based methods and will go up to the Hi-C metagenomics methods that give highly detailed results on the complex microbial communities. The practical component will cover bioinformatics analysis of metagenomics. Please note that if you are not eligible for a University of Cambridge [Raven](http://www.ucs.cam.ac.uk/docs/faq/raven/n5) account you will need to Book or register Interest by linking [here](http://bioinfotraining.bio.cam.ac.uk/booking-form/?event-id=3331686&course-title=Introduction%20to%20metagenomics).'' 2020-05-06 08:30:00 UTC 2020-05-07 15:30:00 UTC University of Cambridge Craik-Marshall Building, Cambridge, United Kingdom Craik-Marshall Building Cambridge United Kingdom CB2 3AR Data mining Data visualisation Metagenomics Bioinformatics University of Cambridge Bioinformatics Training  The course is aimed at biologists interested in microbiologyprokaryotic genomicsanalysis of complex microbiomes and antimicrobial resistance.Graduate studentsPostdocs and Staff members from the University of CambridgeInstitutions and other external Institutions or individuals workshops_and_courses  HDRUK
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