AET16 Applied Evolutionary Theory
7 - 11 November 2016
Oeiras, PortugalAET16 Applied Evolutionary Theory http://gtpb.igc.gulbenkian.pt/bicourses/AET16/ https://tess.elixir-europe.org/events/aet16-applied-evolutionary-theory For many of its history, our knowledge of evolution has been based heavily on theoretical models and hypotheses. In the age of novel experimental and technological approaches, we are now increasingly able to evaluate this theory; however, the basics of how and why to develop and analyze a simple model are often forgotten in the process of NGS analysis. This course aims at training evolutionary biologists in classical modeling and teach them ways to approach their own research questions through evolutionary theory. Primarily through interactive hands-on sessions, complemented by an introduction to the cornerstones of modeling and its application to data analysis, this course will familiarize the participants with ways of approaching a research question with a simple model, and different strategies at gaining insight from the model. In groups of two, course participants will develop and analyze their own toy model in the course and present their findings to the group on the last day. Topics that will be covered in the course include the following: Why and how are models useful? How to write down/develop a model How simple/complicated should a model be? Which modeling approach/programming language should I use for my question? How to nail down a question with a model Extracting results from an equation/simulation How to evaluate a model using empirical data Participants can use their preferred programming language during the hands-on sessions, and free access to Wolfram Mathematica will be provided. The instructors have modeling experience using Mathematica, R, Python, and C++. 2016-11-07 09:00:00 UTC 2016-11-11 00:00:00 UTC Instituto Gulbenkian de Ciência Instituto Gulbenkian de Ciência, Oeiras, Portugal Instituto Gulbenkian de Ciência Oeiras Portugal 901 Computational biology Evolutionary biology    workshops_and_courses  Evolutionmodelling
PDA17 Proteomics Data Analysis
6 March 2017
Oeiras, PortugalPDA17 Proteomics Data Analysis http://gtpb.igc.gulbenkian.pt/bicourses/PDA17/ https://tess.elixir-europe.org/events/proteomics-data-analysis IMPORTANT DATES for this Course Deadline for applications: Feb 25th 2017 (New) Course date: March 6th - March 10th 2017 Candidates with adequate profile will be accepted in the next 72 hours after the application until we reach 20 participants. Course description Mass spectrometry based proteomic experiments generate ever larger datasets and, as a consequence, complex data interpretation challenges. In this course, the concepts and methods required to tackle these challenges will be introduced, covering both protein identification and quantification. The core focus will be on shotgun proteomics data. Quantification through isobaric labels (iTRAQ, TMT) and label-free precursor peptide (MS1) ion intensities will also be introduced. The course will rely exclusively on free and user-friendly software, all of which can be directly applied in your lab upon your return from the course. An introduction to available online resources and repositories will also be given. Here you will see how to link the results from proteomic experiments with external data to conduct pathway, gene ontology and interaction analyses. In the course, you will also learn how to submit data to the ProteomeXchange online repositories, and how to browse and reprocess publicly available data from these repositories. The course will provide a solid basis for beginners, but also new perspectives to those already familiar with standard data interpretation procedures in proteomics. Note: this is a highly interactive course. It requires that the participants interact with each other and with the course instructors, in order to reach the learning outcomes in full. Course Pre-requisites The participants should have a basic knowledge about mass spectrometry based proteomics. Experience in analyzing proteomics data is an advantage, but not mandatory. The course does not require advanced computer skills. 2017-03-06 09:30:00 UTC 2017-03-06 09:30:00 UTC Pedro Fernandes Instituto Gulbenkian de Ciência, Oeiras, Portugal Instituto Gulbenkian de Ciência Oeiras Portugal 2781-901 Mass spectrometry Proteomics Instituto Gulbenkian de Ciência email@example.com   20 workshops_and_courses registration_of_interest 
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