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Tags: programming

All Categories (1-10 of 10)

  1. A Fun Introductory Command Line Exercise: Next Generation Sequencing Quality Analysis with Emoji!

    28 Feb 2019 | Teaching Materials | Contributor(s):

    By Rachael St. Jacques1, Max Maza1, Sabrina Robertson2, Guoqing Lu3, Andrew Lonsdale4, Ray A Enke5

    1. Department of Biology, James Madison University 2. Department of Psychology & Neuroscience, University of North Carolina at Chapel Hill 3. Department of Biology and School of Interdisciplinary Informatics, University of Nebraska Omaha 4. ARC Centre of Excellence in Plant Cell Walls, Melbourne University 5. James Madison University

    This resource is a fun computer-based intro to command line programming. The activity takes FASTQ NGS data files and runs a fun program called FASTQE.

    https://qubeshub.org/qubesresources/publications/1092/?v=1

  2. Kate S Boersma

    https://qubeshub.org/community/members/10172

  3. Sarah Supp

    https://qubeshub.org/community/members/9841

  4. R Reference Card

    23 Oct 2018 | Teaching Materials | Contributor(s):

    By Tom Short

    EPRI PEAC

    Summary of reference info for using R

    https://qubeshub.org/qubesresources/publications/840/?v=1

  5. Bruno Marco Ghersi

    https://qubeshub.org/community/members/9443

  6. James S. Santangelo

    https://qubeshub.org/community/members/8226

  7. Why Earth Data Scientists Are In Demand: A Survey of Hiring Managers

    14 Feb 2018 | Posted by Earth Lab

    Earth analytics, also known as Earth data science, is a field that uses data science techniques to study Earth processes and solve environmental issues. This rapidly growing field requires a...

    https://qubeshub.org/community/groups/earthlabcu/blog/2018/02/why-earth-data-scientists-are-in-demand-a-survey-of-hiring-managers

  8. Earth Analytics in R - A Earth Data Science Course at University of Colorado, Boulder

    24 Jan 2018 | | Contributor(s):: Leah Wasser

    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of heterogeneous ‘big scientific data.’Throughout the course you will use computationally...

  9. Implementing and Testing an Agent-Based Model

    Collections | 15 Oct 2016 | Posted by Drew LaMar

    https://qubeshub.org/community/groups/introquantbio/collections/timeline

  10. R Shiny Basics

    17 Aug 2015 | | Contributor(s):: Claire K. Lunch, Christine M. Laney

    A nice introduction to building apps with R Shiny. Written by the folks at NEON (National Ecological Observatory Network).