Curso online en directo: Morphological phylogenetics: principles, applications, and techniques, Sept 23-Oct 11, 2024

Ya se ha abierto la inscripción para el curso Morphological phylogenetics: principles, applications, and techniques. 6ª Edición. Este curso se impartirá en directo online (sincrónico). Máximo 18 participantes.

FECHAS Y HORARIO: sesiones en directo el 23, 25, 27, y 30 de septiembre y el 2, 4, 7, 9, y 11 de octubre, 2024; de 16:00 a 19:30 (zona horaria de Madrid).

RESUMEN DEL CURSO (en inglés, que es el idioma en el que se impartirà el mismo)

An accurate reconstruction of evolutionary relationships among species is the cornerstone of evolutionary biology. Building phylogenetic trees thus provides the fundamental framework upon which systematic, biogeographic and evolutionary research operates. Morphological phylogenetics provides a unique toolkit for inferring relationships, considering that the vast majority of the species that have ever lived are now extinct and can only be assessed based on morphological data. 

Additionally, combining fossils and morphological data with molecular data from extant species is becoming the most comprehensive method of assessing phylogenetic relationships on deep time and the time of origin of major evolutionary lineages. In this course, we will focus on the analysis of morphological data (and combining morphological data with molecular data) using multiple optimality criteria for phylogenetic inference. 

We will discuss the best available approaches to construct morphological data sets and their impact on phylogenies. We will follow with theory and hands-on practice of phylogenetic programs using maximum parsimony, maximum likelihood and Bayesian inference. 

Participants will learn how to combine morphological and molecular data for total evidence analyses, how to conduct time-calibrations using tip and node dating, different birth-death models, morphological clocks and combined evidence relaxed clock analyses. Customized course materials will be provided.

Software: Mesquite, TNT, RAxML, IQTree, Mr. Bayes and BEAST.

Podéis encontrar más información en https://www.transmittingscience.com/courses/evolution/morphological-phylogenetics-principles-applications-techniques/  o escribiendo a courses@transmittingscience.com  

Un cordial saludo

Sole

 

Curso online “Introduction to RNA-seq bioinformatic pipelines” del 24 al 31 de octubre, , 2023

 

Está abierta la inscripción al curso online en directo “Introduction to RNA-seq bioinformatic pipelines”.

Fechas y horario: sesiones en directo el 24, 26, 27, 30, y 31 de octubre; de 13:00 a 17:00 (zona horaria de Madrid).

Profesorado: Marcela Dotto (Instituto de Ciencias Agropecuarias del Litoral, Argentina) y Hernan G. Rosli (Instituto de Fisiología Vegetal INFIVE, Argentina).

Más información e inscripciones: https://www.transmittingscience.com/courses/genetics-and-genomics/introduction-to-rna-seq-bioinformatic-pipelines/

Resumen del curso (en inglés, que es el idioma en el que se impartirá el mismo):

This is an introductory course aiming at guiding students through the execution of the most common pipelines used to analyze different types of data generated through RNA sequencing with NGS technologies.

The course focuses on the use of Linux-based software and tools and is oriented to graduates or postgraduates with a degree in Biomedical or Life Sciences. No previous experience working with Linux-based operating systems is required.

Programme:

·      Brief introduction to Linux

·      Quality control and pre-processing of fastq files

·      SAM format and samtools

·      RNA-seq

·      Small RNA sequencing

·      LncRNA discovery

Curso online en directo: Transposable element detection using sequencing data. Del 12 al 20 de marzo, 2023.

 

Estimad@s colegas,

Está abierta la inscripción para el curso Transposable element detection using sequencing data, 2ª edición. Este curso se llevará a cabo en vivo en línea (síncrono). 

Máximo 20 participantes.

Fechas y horario: 12 al 20 de marzo, 2023. Sesiones en directo el 12, 13, 18, 19, y 20 de octubre; de 13:00 a 17:00 (zona horaria de Madrid).

Profesorado: Dra. Anna-Sophie Fiston-Lavier (Instituto de Ciencias de la Evolución de Montpellier) y Dra. Emmanuelle Lerat (Universidad Lyon 1)

Más información e inscripciones: https://www.transmittingscience.com/courses/genetics-and-genomics/introduction-to-transposable-element-detection-using-sequencing-data/ o escribiendo a courses@transmittingscience.com

RESUMEN DEL CURSO (en inglés, que es el idioma en el que se impartirà el curso)

Transposable elements (TEs) can be major components of eukaryotic genomes. Such repeated sequences, which can make up very large proportions like about 50% of mammalian genomes to more than 80% in the genomes of some plants, can promote various types of mutations, from gene interruption and expression alteration to large-scale chromosomal rearrangements. They can also promote the formation of new genes. Despite their deleterious effects, TEs are currently considered as major actors in genome evolution due the genetic and epigenetic diversity they can generate.

Even if they have a fundamental biological role, detection and analysis of TE sequences are still technologically challenging. The length and quality of sequenced reads make their detection and annotation difficult (40% detection error). Moreover, the presence of TEs in a genome can also lead to important assembly errors due to rearrangement and the merge of repeats, and to difficulties in the identification of splicing events and in the estimation of gene expression in transcriptomic analyses. It is thus important to be able to identify these sequences in genomic and transcriptomic data.

Since several years, a large number of bioinformatic tools have been developed allowing a better identification of TEs in genomes. New tools are released regularly to follow the progress of sequencing technologies but also to answer particular biological questions allowing to go from the TE annotation in assembled or unassembled genomes, to insertion polymorphism detection in natural populations. The result is a particularly large choice for users leading to difficulties in the determination of the best tool(s) to use according to the case.

In this course, we aim at proposing an introduction of selected bioinformatic tools for the detection and analysis of TEs in genomic data (RepeatMasker, DnaPipeTE, T-lex).

Vea el programa completo aquí https://www.transmittingscience.com/courses/genetics-and-genomics/introduction-to-transposable-element-detection-using-sequencing-data/#program  

Un saludo

Sole