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  • Workshops and courses64
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  • 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
  • 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
  • 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 early-stage researchers working in the field of ecological genomics who want to make bioinformatics a significant part of their research. The course will also support the research of the Moore Foundation symbiosis community, in particular those working on the Aquatic Symbiosis Genomes project. Participants will require a basic knowledge of the Unix command line and the Ubuntu 18 operating system. We recommend taking these 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 Experience with both R and Python will also be essential for the computational sessions. Participants without basic knowledge of these resources will struggle to learn the practical skills developed during the course.1
  • The primary target audience is researchers working in FAANG projects, including AQUA-FAANG, GENE-SWitCH and BovReg. Familiarity with running bioinformatic analysis of sequencing data in a Unix environment is essential for those attending this training.1
  • This course is aimed at PhD students and post-doctoral researchers who are applying or planning to apply high throughput sequencing technologies in cancer research and wish to familiarise themselves with bioinformatics tools and data analysis methodologies specific to cancer data. Familiarity with the technology and biological use cases of high throughput sequencing (HTS) is required, as is some experience with R/Bioconductor (basic understanding of the R syntax and ability to manipulate R objects) and the Unix/Linux operating system.1
  • This course is aimed at PhD students and post-doctoral researchers who are using high-throughput sequencing technologies and bioinformatics methods in their research. The content is most applicable for those working with eukaryotic genomes, human genetics and in rare disease research. Participants will require a basic knowledge of the Unix command line, the Ubuntu 16 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 Please note: participants without basic knowledge of these resources will have difficulty in completing the practical sessions.1
  • This course is aimed at life science researchers needing to learn more about the basic processing of raw RNA-Seq data and downstream analysis. It will help those wanting to learn how to interpret gene expression data and explore results of biological significance from processed data. 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 life scientists who are working in the field of metagenomics and are currently in the early stages of data analysis. Participants should have some prior experience of using bioinformatics in their research. The practical sessions in the course require a basic understanding of the Unix command line and the R statistics package. If you are not already familiar with these then please ensure that you complete these free tutorials before you attend the course: Basic introduction to the Unix environment: www.ee.surrey.ac.uk/Teaching/Unix Basic R concept tutorials: www.r-tutor.com/r-introduction1
  • 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 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
  • This course is intended for graduate students, postdocs and young researchers working in the fields of metagenomics and viral discovery in the CABANA grand challenge areas of communicable diseases, protection of biodiversity, and/or sustainable crop production.  Applicants must be employed within Latin America only. Additional we cannot accept applications from Chile or Uruguay due to funding restrictions.   Prerequisites Please note this course will be taught in English, however the trainers are fluent in either Spanish/Portuguese, and can offer language support where feasible. Priority will also be given to those who have not attended a CABANA event yet. Students should be familiar with using the Linux command line. As the course will be held remotely, all students must have Zoom previously installed on their computers. Also, as classes will be held synchronously, a good Internet connection is mandatory. A knowledge of virology, especially from previous research experience, is also desirable.   Scientists from underrepresented ethnic and gender groups are especially encouraged to apply for this workshop, for example women and those with Black and/or Indigenous heritage.  1
  • This course is suitable for postgraduate students (MSc-level and above), postdoctoral-level researchers, newly established principal investigators and other research scientists within Latin America, who wish to use omics resources/analysis in their own research. We welcome applications from universities, research centres, hospitals, public health, and private laboratories. Scientists from underrepresented ethnic and gender groups are especially encouraged to apply for this workshop, for example women and those with Black and/or Indigenous heritage. Please note this course will be taught in English, however the trainers are fluent in either Portuguese or Spanish and can offer language support where feasible. Attendance priority will be given to those who have not attended a CABANA event yet. Prerequisites Working knowledge of genetics and/or molecular biology would be advantageous. You will also require access to a computer for the duration of the workshop. You do not need to know how to use UNIX / Linux operating systems and the command line, as the course covers the basics.  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
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