- Home
- Events
Filter
Sort
-
-
Filter Clear filters
-
-
Start
- -
-
-
-
Content provider
- European Bioinformatics Institute (EBI)10
- Show N_FILTERS more
-
-
-
Keyword
- DNA & RNA (dna-rna)4
- Ensembl4
- Ensembl Genomes3
- Genome2
- API1
- Comparative genomics1
- Gene expression (gene-expression)1
- Genome browser1
- Molecular building blocks of life1
- Pangenomics1
- Plant research1
- Plant webinar series1
- Programmatic access1
- REST1
- Vertebrate genomes1
- plants1
- Show N_FILTERS more
-
-
-
Scientific topic
- Bioinformatics736
- Genome annotation322
- Exomes313
- Genomes313
- Genomics313
- Personal genomics313
- Synthetic genomics313
- Viral genomics313
- Whole genomes313
- Biological modelling218
- Biological system modelling218
- Systems biology218
- Systems modelling218
- Biomedical research192
- Clinical medicine192
- Experimental medicine192
- General medicine192
- Internal medicine192
- Medicine192
- Bottom-up proteomics155
- Data management155
- Discovery proteomics155
- MS-based targeted proteomics155
- MS-based untargeted proteomics155
- Metadata management155
- Metaproteomics155
- Peptide identification155
- Protein and peptide identification155
- Proteomics155
- Quantitative proteomics155
- Research data management (RDM)155
- Targeted proteomics155
- Top-down proteomics155
- Cloud computing59
- Computer science59
- Exometabolomics59
- HPC59
- High performance computing59
- High-performance computing59
- LC-MS-based metabolomics59
- MS-based metabolomics59
- MS-based targeted metabolomics59
- MS-based untargeted metabolomics59
- Mass spectrometry-based metabolomics59
- Metabolites59
- Metabolome59
- Metabolomics59
- Metabonomics59
- NMR-based metabolomics59
- Immunology57
- Computational pharmacology55
- Pharmacoinformatics55
- Pharmacology55
- Comparative transcriptomics53
- Transcriptome53
- Transcriptomics53
- Data archival52
- Data archiving52
- Data curation52
- Data curation and archival52
- Data preservation52
- Database curation52
- Research data archiving52
- Biomathematics51
- Computational biology51
- Mathematical biology51
- Theoretical biology51
- FAIR data50
- Findable, accessible, interoperable, reusable data50
- Pipelines46
- Software integration46
- Tool integration46
- Tool interoperability46
- Workflows46
- Active learning45
- Ensembl learning45
- Kernel methods45
- Knowledge representation45
- Machine learning45
- Neural networks45
- RNA-Seq analysis45
- Recommender system45
- Reinforcement learning45
- Supervised learning45
- Unsupervised learning45
- Data visualisation39
- MicroRNA sequencing36
- RNA sequencing36
- RNA-Seq36
- Small RNA sequencing36
- Small RNA-Seq36
- Small-Seq36
- Transcriptome profiling36
- WTSS36
- Whole transcriptome shotgun sequencing36
- miRNA-seq36
- Metagenomics34
- Shotgun metagenomics34
- Data rendering32
- High-throughput sequencing31
- Show N_FILTERS more
-
-
-
Event type
- Workshops and courses10
- Show N_FILTERS more
-
-
-
Target audience
- 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 suitable for graduate students and young researchers with a background in biology who are keen to become proficient bioinformaticians within the fields of genomics and/or transcriptomics. We will start with the basics, so students with no prior programming knowledge are welcome. We have a number of Linux computers that you can use, and you can bring your own laptops*. Please note this course will be taught in English, however the trainers are fluent in either Spanish or Portuguese, 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. *If you bring your own laptop (any operating system is fine), you must have installed the following programs: R (at least version 3.5), the latest Rstudio and Bioconductor. To download R please visit: https://www.r-project.org/ To download RStudio please visit: https://www.rstudio.com/products/rstudio/download/ Bioconductor must be downloaded and installed via R, instructions on how to do this can be found here: https://www.bioconductor.org/install/1
- wet-lab researchers and bioinformaticians1
- Show N_FILTERS more
-
- Only show online events
- Show events from all spaces
- Hide past events
- Show disabled events
- Show events with broken links