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2 events found

Organizer: de.NBI 


City: Heidelberg  or Pavia  or Leiden University  or Belgrade  or Kiel  or Norwich  or Magdeburg 

  • Computing Skills for Reproducible Research: Software Carpentry Course 2020

    19 - 23 October 2020

    Computing Skills for Reproducible Research: Software Carpentry Course 2020 Educators: Renato Alves (HD-HuB) Date: 19-10-2020 - 23-10-2020 09:00-18:00 Location: Online Contents: Computation is an integral part of today's research as data has grown too large or too complex to be analysed by hand. An ever-growing fraction of science is performed computationally and many wet-lab biologists spend part of their time on the computer. Many scientists struggle with this aspect of research as they have not been properly trained in the necessary set of skills. The result is that too much time is spent using inefficient tools when progress could be faster. This course provides training in several key tools, with a focus on good development practices that encourage efficient and reproducible research computing. Topics covered include: Introduction to Python scripting Introduction to the Unix shell and usage of cluster resources Version control with Git and Github Analysis pipeline management Scientific Python & working with biological data Literate programming with Jupyter notebooks Learning goals: This course aims to teach software writing skills and best practices to researchers in biology who wish to analyse data, and to introduce a toolset that can help them in their work. The goal is to enable them to be more productive and to make their science better and more reproducible. Prerequisites: This is a course for researchers in the life sciences who are using computers for their analyses, even if not full time. The target student will be familiar with some command line/programmatic computer usage, will want to become more confident using these tools efficiently and reproducibly. A target student will have written a for loop in some language before, but will not know what git is (or at least not be very comfortable using git). Keywords: Programming; Command Line; Version Control; Bioinformatics; Data Analysis; Cluster Computing Tools: Python; Bash; Unix/Linux; Git; GitHub; SnakeMake; Biopython; Pandas; Numpy; SciPy; Matplotlib 2020-10-19 09:00:00 UTC 2020-10-23 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • Applied Metaproteomics Workshop 2020

    23 - 27 November 2020

    Magdeburg, Germany

    Applied Metaproteomics Workshop 2020 Educators: Dirk Benndorf, Stephan Fuchs, Robert Heyer, Kay Schallert (BiGi/MetaProtServ) Date: 23.11.2020 – 27.11.2020 Location: Magdeburg, Germany (Universitätsplatz 2, Building 28.205) Contents: Microbiome research is rapidly increasing. Meta-Omics data provide insights into microbial community influencing human health and biochemical cycle. Metaproteomics focusses on proteins representing the expressed genes and functions. In contrast to metagenomics or metatranscriptomics, the extraction and the analysis of proteins from human or environmental samples is challenging. The de.NBI course on Applied Metaproteomics trains the participants to apply a complete workflow starting from design of experiments via sample preparation to measurement and bioinformatics analysis of high-resolution MS data. Maximum 10 participants are strongly encouraged to analyze their own samples to start their own metaproteomics project. The workshop takes place at chair of bioprocess engineering at Otto-von-Guericke University Magdeburg. The team of microbial communities head by Dr. Dirk Benndorf is well experienced in metaproteomics. The samples will be measured on newly purchased timsTOF Pro MS. His group devellopes the MetaProteomAnalyzer service facilitating the analysis of of metaproteomic data. The provision of service is supported by the German Network for Bioinformatics Infrastructure - de.NBI. Monday 09:00-10:00 Arrival 10:00-11:00 Introduction to metaproteomics (lecture: Dirk Benndorf) 11:00-12:00 Design of experiments and sample preparation (lecture: Robert Heyer) 12:00-13:00 Lunch 13:00-18:00 Sample preparation I (protein extraction, protein quantification: Robert Heyer) during the afternoon short presentations of participant´s about their samples (each participant max. 10 min) Tuesday 08:00-11:00 Sample preparation II (FASP digest, SDS-PAGE: Robert Heyer) 11:00-13:00 Introduction to high resolution mass spectrometry (lecture: Dirk Benndorf) 13:00-14:00 Lunch 13:00-14:00 Sample preparation II (peptide extraction: Robert Heyer) 14:00-16:00 Introduction to the MPA 2.0 (lecture: Kay Schallert) non-stop: measurement of participant’s samples I Wednesday non-stop: measurement of participant’s samples I: Dirk Benndorf, Patrick Hellwig 09:00-11:00 MPA 2.0 exercise I (working with a small reference dataset, db searching, metaprotein concept: Kay Schallert, Robert Heyer) 11:00-13:00 MPA 2.0 exercise II (loading user db, BLAST search of unknown hits, quantitative comparison of datasets, visualization and data export: Kay Schallert, Robert Heyer) 13:00-14:00 Lunch 14:00-17:00 Prophane workflow (lecture and training: Stefan Fuchs, external speaker) Thursday 09:00-13:00 MPA 2.0 exercise III (analyzing own data: Kay Schallert, Robert Heyer) 13:00-14:00 Lunch 14:00-17:00 Training at MS (calibration, setup of LC-MS methods, solvent exchange, trouble shooting, Patrick Hellwig) Friday 08:00-10:00 MPA 2.0 exercise IV (visualization of data: Robert Heyer) 10:00-12:00 Individual discussion of results and preparation of presentations (Dirk Benndorf, Robert Heyer, Kay Schallert) 12:00-13:00 Short presentations of participant‘s results and conclusion 13:00 Lunch and departure Learning goals: To apply a complete workflow starting from design of experiments via sample preparation to measurement and bioinformatics analysis of high-resolution MS data. Prerequisites: Fee: 30 € Keywords: Microbiome, MPA, Metaproteomics, MetaProteomeAnalyzer, Tools: MetaproteomeAnalyzer 2020-11-23 09:00:00 UTC 2020-11-27 17:00:00 UTC de.NBI Magdeburg, Magdeburg, Germany Magdeburg Magdeburg Germany [] [] [] workshops_and_courses [] []

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