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- Workshops and courses69
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- United Kingdom25
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Target audience
- Wet-lab researchers and bioinformaticians8
- Bioinformaticians and wet-lab biologists who can program in Python or R.3
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R.2
- 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. Though programming skills are not a prerequisite for attending the course, we will ask participants to specify their current level of programming skills in the applications. This will allow the mentors to target the group projects better to the skills and needs of the final course participants.1
- Bioinformaticians and wet-lab biologists who can program in Perl, Python or R. The Ensembl browser workshop is a pre-requisite for this course.1
- Este curso introductorio está destinado principalmente a becaries doctorales de iniciación, que buscan dar sus primeros pasos en el uso de R para análisis de datos genómicos. El curso está dirigido únicamente a académicos de países de América Latina, excluyendo a Chile y Uruguay por restricciones de financiamiento. Prerrequisitos No es necesario tener conocimiento previo o experiencia en línea de comandos. Se valorarán los conocimientos de biología molecular. Dado que la modalidad de cursada será virtual (sincrónica/ asincrónica) cada uno debe contar con acceso a PC y conexión a internet estable. No se requiere la instalación de programas, ya que se proveerá acceso a herramientas virtuales (ejemplo: RStudio virtual). Tenga en cuenta que este curso se impartirá en español, aunque los formadores dominan el inglés y pueden ofrecer apoyo lingüístico cuando sea posible. Se dará prioridad en la inscripción a estudiantes de doctorado de iniciación. Alentamos la postulación de todes les becaries de grupos subrepresentados a este taller. Se dará prioridad de asistencia a aquellos que aún no hayan asistido a un evento de CABANA.1
- No prior experience of bioinformatics is required, but an interest in finding out more about genetic variation resources and an undergraduate level understanding of biology would be of benefit. Experience with command line usage would be very beneficial. This workshop will focus specifically on human genetic variation. We encourage the audience to go through our introductory online course on human genetic variation prior to attending the workshop.1
- The course is aimed at PhD students and post-doctoral researchers who are starting to use high-throughput sequencing technologies and bioinformatics methods in their research. The content is most applicable for those working with eukaryotic genomes, especially in the area of human genetics and rare-disease research. Participants will require a basic knowledge of the Unix command line and the Ubuntu 18 operating system. We recommend these free tutorials: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Introduction and exercises for Linux: https://training.linuxfoundation.org/free-linux-training Please note: participants without basic knowledge of these resources will have difficulty in completing the practical sessions.1
- The course is aimed at individuals working in immunology research who have minimal experience in bioinformatics. Applicants are expected to be at an early stage of using bioinformatics in their research with the need to develop their skills and knowledge further. Participants will need a basic knowledge of the Unix command line, and the R statistical package. We recommend these free tutorials: Introduction to the Unix environment – http://www.ee.surrey.ac.uk/Teaching/Unix/ Basic R concepts – http://www.r-tutor.com/r-introduction1
- This course is aimed at graduate students, postdocs, clinical scientists, clinicians/healthcare professionals or lab heads working on fungal pathogens.1
- This course is aimed at researchers at graduate level upwards within Latin America who are working with and/or generating their own crop genomic data or who are working on genotyping technologies, including data analysis software development. Prerequisites: Basic computational or previous bioinformatics experience is required for this workshop, such as basic commands in R. Undergraduate-level knowledge of plant biology would be an advantage. Please note this course will be taught in English. There will be assistants fluent in Spanish who can offer language support where feasible.1
- This workshop is aimed at PhD students within the PhD programme "Genetics, Molecular and Cellular Biology" (University of Pavia) and the PhD programmme "Biomolecular Sciences and Biotechnology" (IUSS, University School for Advanced Studies Pavia. No knowledge of programming is required, but an undergraduate level knowledge of biology or molecular biology would be useful.1
- Who can participate: Students (B.Sc./B.Tech/M.Sc./M.Tech), Research Fellows, PhD Student, Faculty, Scientists, and Company Personals. Prerequisites Participants must have access to the laptop/desktop with a stable internet connection. Basic knowledge of R or Python for full REST API course (only for last four day of workshop e.g. 27th - 30th July).1
- wet-lab researchers and bioinformaticians1
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- By invitation1
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Instructor
- Aleena Mushtaq23
- Benjamin Moore12
- Emily Perry11
- Michal Szpak10
- Louisse Paola Mirabueno6
- Baron Koylass4
- Anna Swan2
- Astrid Gall2
- Birgit Meldal2
- Carla Valeria Filippi2
- David Armstrong2
- Dona Shaju2
- Helder Pedro2
- James Stephenson2
- Julia Foreman2
- Kalpana Panneerselvam2
- Nancy George2
- Sarah Morgan2
- Silvia Bahena Hernandez2
- Summer Rosonovski2
- Thawfeek Varusai2
- Adam Frankish1
- Adnan Mahmood Malik1
- Adnan Malik1
- Alan Tracey1
- Aleena Mushtaq, Michal Szpak1
- Alex Bateman1
- Alexandra Holinski1
- Alexey Larionov1
- Andrew Green1
- Anja Fullgrabe1
- Anna Lorenc1
- Aurelien Dugourd1
- Ben Moore1
- Bilal El Houdaigui1
- Blake Sweeney1
- Bruno Contreras-Moreira1
- Bérénice Batut1
- Carlos Eduardo Ribas1
- Charles Solomon1
- Chiara Batini1
- Christian Tischer1
- Christopher Hall1
- Daniel Poppleton1
- Dayane Rodrigues Araujo1
- Deborah Harrus1
- Dezso Modos1
- Diana Lopez1
- Elena Lukianova1
- Eliot Ragueneau1
- Elliot Sollis1
- Emily Bowler-Barnett1
- Emily Perry (Pritchard)1
- Erin Haskell1
- Gun Antonia Nilsson Lock1
- Hedi Peterson1
- Ida Zucchi1
- Jane Loveland1
- Jenny Cook1
- Joannella Morales1
- Johannes Griss1
- Jonathan Michael Irish1
- Jorge Batista da Rocha1
- Joseph Ellaway1
- Julio Saez-Rodriguez1
- Kalpana Paneerselvam1
- Katja Luck1
- Kayesha Coley1
- Keeva Cochrane1
- Lee Larcombe1
- Leonie Hodges1
- Livia Perfetto1
- Louisse Mirabueno1
- Luca Stefanucci1
- Maira Ihsan1
- Malvika Sharan1
- Manuel Humberto Reyes-Valdes1
- Marcela Uliano-Silva1
- Marcelo Querino1
- Marco Cristancho1
- Marta Perez-Alcantara1
- Marton Olbei1
- Nikiforos Karamanis1
- Noemi Piga1
- Noemi Tejera Hernandez1
- Octavio Martinez de la Vega1
- Pamela Victoria Villalba1
- Patricia Carvajal Lopez1
- Paul Denny1
- Paulyna Gabriela Magana Gomez1
- Peter McQuilton1
- Prabhat Totoo1
- Preeti Choudhary1
- Priit Adler1
- Raheleh Rabhari1
- Rahuman Sheriff1
- Rahuman Sheriff Malik Sheriff1
- Rebecca White1
- Rossana Zaru1
- Sam Holt1
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