Tags: Software

All Categories (1-12 of 12)

  1. Software suggestion for sequence data: MEGA

    Check out this intro-level, user-friendly GUI application MEGA: Molecular Evolutionary Genetics Analysis. https://www.megasoftware.net/


  2. Rebecca Gasper


  3. David Shaner LeBauer


  4. Preston Haugh

    Hi all,I am an Sophomore at Bates College majoring in Economics with applied interest in our new Digital and Computational Studies discipline. I am a member of the varsity golf team and enjoy...


  5. Software Carpentry

    Collections | 13 Jun 2018 | Posted by Carlos C. Goller


  6. 4th Avida-ED Active LENS Workshop: Summer 2018

    06 Feb 2018 | Posted by QUBES Team

    The 4th annual Avida-ED Active LENS Workshops will be held this summer. This year, we are offering two options: one, at the North Carolina A&T University in Greensboro, North Carolina,...


  7. Prepare your computer

    Collections | 21 Jul 2017 | Posted by Shuchismita Dutta



    19 Oct 2015 |

    DFIELD is an interactive tool that graphs a direction field for a given differential equation.

  9. R Commander

    04 Sep 2015 | | Contributor(s):: Drew LaMar

    R provides a powerful and comprehensive system for analysing data and when used in conjunction with the R-commander (a graphical user interface, commonly known as Rcmdr) it also provides one that is easy and intuitive to use.

  10. XPPAUT

    31 Mar 2015 |

    XPPAUT is a general numerical tool for simulating, animating, and analyzing dynamical systems.

  11. Tools: New tools for new science

    06 Feb 2015 |

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/891A collection of computational, modeling and data analysis tools developed at Microsoft Research Labs.

  12. Cookbook for R

    10 Jan 2015 | | Contributor(s):: Winston Chang

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/780The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.