RNA-Seq using R
28 September 2015
Melbourne, AustraliaRNA-Seq using R http://biotraining.erc.monash.edu/#__4 https://tess.elixir-europe.org/events/rna-seq-using-r The Monash Bioinformatics Platform want to help make introductory bioinformatic approaches part of the research landscape in Biomedicine. To do this, a foundation level of expertise amongst as many researchers as possible is an important step forward. The platform will then be available to facilitate this work as well as develop more advanced bioinformatic projects with our researchers. We are running a two day hands-on workshop with a focus on enabling researchers to be able to analyse RNASeq (next-gen sequencing) data. Day 1, we will begin by teaching an introduction to programming using the R language. Day 2 will focus on using this knowledge to perform bioinformatic data analysis of some RNASeq data. Day one (Programming in R) is optional, for those well-versed in the R programming language, or programming in general. The workshop will be taught in a similar style to Software Carpentry workshops. Software Carpentry's mission is to help scientists and engineers get more research done in less time and with less pain by teaching them basic lab skills for scientific computing. For more information on what we teach and why, please see our paper "Best Practices for Scientific Computing". Who: The course is aimed at graduate students and other researchers. 2015-09-28 09:00:00 UTC 2015-09-28 00:00:00 UTC Monash Bioinformatics Platform, Melbourne, Australia Monash Bioinformatics Platform Melbourne Australia Computer science Biomedical science Software engineering Computational biology RNA-Seq    workshops_and_courses  ABRBioinformaticsComputationalBiology
Intro to Python
31 March 2016
Melbourne, AustraliaIntro to Python http://biotraining.erc.monash.edu/#__3 https://tess.elixir-europe.org/events/intro-to-python-60e190cd-a691-4657-9a32-db3b959482ab Intro to Python 2016-03-31 09:00:00 UTC 2016-03-31 00:00:00 UTC Monash University Monash Bioinformatics Platform, Melbourne, Australia Monash Bioinformatics Platform Melbourne Australia Computer science Biomedical science Software engineering    workshops_and_courses  ABRBioinformatics
Introduction to the GVL and Galaxy
7 November 2016
Melbourne, AustraliaIntroduction to the GVL and Galaxy https://www.vlsci.org.au/introworkshops4biologists#__1 https://tess.elixir-europe.org/events/introduction-to-the-gvl-and-galaxy Galaxy is an open source, web-based platform for accessible, reproducible, and transparent computational biomedical research. It allows users without programming experience to easily specify parameters and run individual tools as well as larger workflows. It also captures run information so that any user can repeat and understand a complete computational analysis. This beginners workshop hosted by VLSCI will introduce Galaxy's interface, tool use, histories, and workflows and get new users of the Genomics Virtual Laboratory up and running. This is a hands-on workshop and attendees should bring their own laptops. 2016-11-07 09:00:00 UTC 2016-11-07 00:00:00 UTC VLSCI - University of Melbourne Lab-14, Melbourne, Australia Lab-14 Melbourne Australia Bioinformatics Biomedical science Genomics    workshops_and_courses  ABRVLSCIBioinformatics
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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