EMBL-ABR Best Practice workshop: data life-cycle - animals
26 October 2016
Melbourne, AustraliaEMBL-ABR Best Practice workshop: data life-cycle - animals http://www.embl-abr.org.au/workshop-bp-series/#__4 https://tess.elixir-europe.org/events/embl-abr-best-practice-workshop-data-life-cycle-animals A part of the data life-cycle series, this workshop would cover best practice data life-cycle for animal researchers. The workshop would provide insights into different phases of data-life cycle. Towards the end of the workshop, attendees would have a good understanding of what is present or missing in terms of open data, Data Commons and FAIR principles for animal research domain in Australia. 2016-10-26 09:00:00 UTC 2016-10-26 00:00:00 UTC VLSCI - University of Melbourne LAB-14, Melbourne, Australia LAB-14 Melbourne Australia Data management Computational chemistry Bioinformatics    workshops_and_courses  ABRVLSCIlifescienceBioinformatics
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 firstname.lastname@example.org   20 workshops_and_courses registration_of_interest 
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