Population Genomics: background and tools

21/04/2018 - 27/04/2018 Giorno intero

Study methods in population genomics have been profoundly reshaped in the last few years thanks to the growing availability of complete genomic sequences at population level. The rapid and recent growth of data and methods calls for new approaches to become routine in evolutionary genomics laboratories. The objective of this Practical Course is to give an overview of state of the art methods in population genomics combining lecturing from outstanding experienced population geneticists and software developers. All conceptual innovation will be presented in lectures and applied in practice both individually and in group work. Practicals includes computer exercises supervised by lecturers and training assistants. After attending the course participants will be aware of up-to-date concepts in population genetics, capable of running analyses using software based on whole genome data sequences and able to deal with basic aspects of any population genomics project. This Practical Course aims at evolutionary biologists who already have bioinformatics skills. PhD students and Post-Doc researchers will benefit the most out of this course, but applications from all candidates will be evaluated in their context.


Biblioteca Consiglio Nazionale delle Ricerche Istituto di Genetica e Biofisica “Adriano Buzzati-Traverso” via Pietro Castellino 111 80131 Napoli - IT


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Software Carpentry aims to help researchers get their work done in less time and with less pain by teaching them basic research computing skills. This hands-on workshop will cover basic concepts and tools, including program design, version control, data management, and task automation. Participants will be encouraged to help one another and to apply what they … Continua a leggere Software Carpentry Workshop

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19esima Bologna Winter School – Big Data and Bioinformatics

12/02/2018 - 16/02/2018
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La diciannovesima edizione della Bologna Winter School presenterà lo stato dell’arte di algoritmi bioinformatici e strategie basate su cloud per raccogliere, immagazzinare e processare dati da esperimenti su larga scale (tra cui genomica, trascrittomica, epigenomica, microbionica).

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