Beatriz Serrano-Solano
Favourite Topics
Favourite Formats
Contributions
The following list includes only slides and tutorials where the individual has been added to the contributor list. This may not include the sum total of their contributions to the training materials (e.g. GTN css or design, tutorial datasets, workflow development, etc.) unless described by a news post.
GitHub Activity
Tutorials
- Transcriptomics / Whole transcriptome analysis of Arabidopsis thaliana
- Transcriptomics / Analysis of plant scRNA-Seq Data with Scanpy
- Imaging / Object tracking using CellProfiler
- Imaging / Nucleoli segmentation and feature extraction using CellProfiler
- Transcriptomics / Filtrado, representación y exploración de secuenciación de ARN de células únicas
Slides
News
¡El primer tutorial en español ya está disponible! Galaxy siempre ha tenido tutoriales traducidos automáticamente mediante Google-Translate, ahora nos estamos embarcando en un nuevo proyecto para estudiar la experiencia de aprendizaje con tutoriales en bioinformática traducidos por humanos. Nuestro objetivo es crear un paquete de tutoriales para el análisis de datos single-cell (célula única) en primera instancia, con el fin de estudiar su uso y utilidad en un taller para hablantes nativos de español. Agradecemos enormemente a las nuevas participantes Patricia Carvajal López y Alejandra Escobar-Zepeda (EMBL-EBI) así como a las miembros existentes de GTN Beatriz Serrano-Solano (University of Freiburg), Saskia Hiltemann & Helena Rasche (Erasmus-MC), por su arduo trabajo en este proyecto de traducción y mantenimiento y, por supuesto, a Wendi Bacon (The Open University/EBI) como líder de proyecto.
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Plant lovers are in luck! A new tutorial on this fascinating kingdom has been added to the GTN. It details the necessary steps to identify potential targets of brassinosteroid-induced miRNAs. Brassinosteroids are phytohormones that have the ability to stimulate plant growth and confer resistance against abiotic and biotic stresses. These characteristics have led to great interest in the field of biotechnology due to its potential for increasing agricultural productivity.
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Single cell RNA-seq analysis is a cornerstone of developmental research and provides a great level of detail in understanding the underlying dynamic processes within tissues. In the context of plants, this highlights some of the key differentiation pathways that root cells undergo.
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Most biological processes are dynamic and observing them over time can provide valuable insights. Combining fluorescent markers with time-lapse imaging is a common approach to collect data on dynamic cellular processes such as cell division. However, automated time-lapse imaging can produce large amounts of data that can be challenging to process. One of these challenges is the tracking of individual objects as it is often impossible to manually follow a large number of objects over many time points.
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