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Target audience
- post-docs3
- Cette formation est destinée aux biologistes (ingénieurs, doctorants, chercheurs, enseignants-chercheurs, praticiens…) confrontés à l’analyse de données NGS, et qui ne disposent pas des compétences bioinformatiques suffisantes.2
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- Anyone who wants to become a teacher / trainer or a better one1
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- PhD Students or young researchers in molecular biology and/or genetics with little or no background in bioinformatics. 1
- PhD students and young researchers in the life science and computational biology field who are planning to use RNA-seq data and are looking for the best practices to analyze these types of data1
- Small and Medium-sized Enterprises (SMEs)1
- This course is aimed at life science researchers wanting to learn more about processing RNA-Seq data and later downstream analysis. It will help those wanting a basic introduction to handling RNA-Seq data, guiding them through several common approaches that can be applied to their own datasets. It features taught and practical sessions that cover how to interpret gene expression data and learn more about the biological significance of certain results. Participants will require a basic knowledge of the Unix command line, the Ubuntu 18 operating system and the R statistical packages. 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 Basic R concept tutorials: www.r-tutor.com/r-introduction Regardless of your current knowledge we encourage successful participants to use these, and other materials, to prepare for attending the course and future work in this area.1
- This course is aimed at researchers from Masters-level upwards within Latin America who are working with and/or generating their own plant genomic and transcriptomic datasets. Prerequisites: Some basic computational or previous bioinformatics experience is required for this workshop, particularly using the UNIX operating system (basic command line skills) and R. You may find the resources below useful: 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 Basic R concept tutorials: www.r-tutor.com/r-introduction Important: All participants must bring a laptop for the course. We will use a virtual machine (VM) provided by instructors for the course practical sessions. All laptops must be of 64-bit architecture with any Operating System and have at least 60 GB free space. Please also note: this course will be taught in Spanish, however the trainers are fluent in English and can offer language support where feasible. A number of travel fellowships are available for this course - early-stage researchers and researchers from underrepresented groups are especially encouraged to apply for CABANA travel fellowships. You can apply for travel fellowships via the course application form.1
- This course is aimed at researchers who are generating, planning on generating, or working with single cell RNA sequencing data. Prerequisites Participants will be using a Galaxy resource in-depth. Participants may also be asked to do brief coding in R. Please ensure that you complete the free tutorials before you attend the course: Introduction to Galaxy: https://galaxyproject.org/tutorials/g101/ Basic R concept tutorials: www.r-tutor.com/r-introduction There are other tutorials here, although they are not required: https://galaxyproject.org/learn/1
- This course is aimed at researchers who are generating, planning on generating, or working with single cell RNA sequencing data. Prerequisites Participants will be using a Galaxy resource in-depth. Participants may also be asked to do brief coding in R. Please ensure that you complete the free tutorials before you attend the course: Introduction to Galaxy: https://galaxyproject.org/tutorials/g101/ Basic R concept tutorials: www.r-tutor.com/r-introduction There are other tutorials here, although they are not required: https://galaxyproject.org/learn/1
- This course is aimed at researchers who are generating, planning on generating, or working with single cell RNA sequencing or image-based transcriptomics data. This course will not cover any aspects of data analysis, therefore no prior computational knowledge is required.1
- Wet-lab Researchers1
- bioinformaticians1
- biologists1
- teachers / trainers1
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Language
- English3
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Instructor
- Wendi Bacon4
- Nancy George3
- Pablo Moreno3
- Silvie Fexova3
- Zinaida Perova3
- Irene Papatheodorou2
- Jonathan Manning2
- Zhichao Miao2
- Alexandra Holinski1
- Alfonso Munoz-Pomer Fuentes1
- Andres Rabinovich1
- Andrew Stubbs1
- Anil Shantilal Thanki1
- Anton Petrov1
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- Asier Gonzalez1
- Blake Sweeney1
- Brett McClintock1
- Carlos Talavera-Lopez1
- Danielle Welter1
- Denise Carvalho-Silva1
- Denye Ogeh1
- Graeme Tyson1
- Iguaracy Pinheiro de Sousa1
- Iris Diana Yu1
- Jamie Allen1
- Janick Mathys1
- Jongeun Park1
- Julia Jakiela1
- Kerstin Meyer1
- Kostas Billis1
- Kristina Kirschner1
- Leanne Haggerty1
- Liis Kolberg1
- Mallory Freeberg1
- Malwina Prater1
- Marisa Loach1
- Maximilian Haeussler1
- Maximiliano Beckel1
- Maximo Rivarola1
- Mehmet Tekman1
- Mirjana Efremova1
- Roser Vento-Tormo1
- Sarah Morgan1
- Sergio Gonzalez - INTA Castelar1
- Simon Andrews1
- Suhaib Mohammed1
- Tallulah Andrews1
- Tamir Chandra1
- Thawfeek Mohamed Varusai1
- Tom Hancocks1
- Vladimir Uzun1
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