10 - 14 October 2016
Oeiras, Portugal3DAROC16 http://gtpb.igc.gulbenkian.pt/bicourses/3DAROC16/ https://tess.elixir-europe.org/events/3daroc16 3C-based methods, such as Hi-C, produce a huge amount of raw data as pairs of DNA reads that are in close spatial proximity in the cell nucleus. Overall, those interaction matrices have been used to study how the genome folds within the nucleus, which is one of the most fascinating problems in modern biology. The rigorous analysis of those paired-reads using computational tools has been essential to fully exploit the experimental technique, and to study how the genome is folded in the space. Currently, there is a clear expansion on the wealth of data on genome structure with the availability of many datasets of Hi-C experiments down to 1Kb resolution (see for example: http://hic.umassmed.edu/welcome/welcome.php ; http://promoter.bx.psu.edu/hi-c/view.php or http://www.aidenlab.org/data.html ). In this course, participants will learn to use TADbit, a software designed and developed to manage all dimensionalities of the Hi-C data: 1D - Map paired-end sequences to generate Hi-C interaction matrices 2D - Normalize matrices and identify constitutive domains (TADs, compartments) 3D - Generate populations of structures which satisfy the Hi-C interaction matrices 4D - Compare samples at different time points Participants can bring- specific biological questions and/or their own 3C-based data to analyze during the course. At the end of the course, participants will be familiar with the TADbit software and will be able to fully analyze Hi-C data. Note: Although the TADbit software is central in this course, alternative software will be discussed for each part of the analysis. 2016-10-10 09:00:00 UTC 2016-10-14 00:00:00 UTC Instituto Gulbenkian de Ciência Instituto Gulbenkian de Ciência, Oeiras, Portugal Instituto Gulbenkian de Ciência Oeiras Portugal 901 Sequencing    workshops_and_courses  Hi-Cdata
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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