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Practical biocuration

  • Overview
  • Search
  • Course content
  • Introduction to biocuration
  • Metadata and ontologies
  • Identifiers and mapping
  • Extracting data from literature
  • Challenges in biocuration
  • Programming for biocuration
  • Mini-project
    • Curating a protein complex
    • Exploring data and metadata from a genome-wide association study
    • Using alignments to improve Rfam families: a case of curating non-coding RNA families
  • Trainer biographies
  • Further learning
  • Technical help sheet
  • Your feedback

Creative Commons

All materials are free cultural works licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license, except where further licensing details are provided.

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Technical help sheet

Technical requirements and resources for data analysis

You will require the following tools for executing the practicals in this course materials:

Internet Browser (Google Chrome)
Protégé 5.6.1https://protege.stanford.edu/software.php
Github Desktophttps://desktop.github.com/
repository cloned in Github Desktop
Jupyter Labhttps://jupyter.org/install
Requestshttps://pypi.org/project/requests/
Spreadsheet (Excel or other)
Pandashttps://pandas.pydata.org/
Seabornhttps://seaborn.pydata.org/
Infernalhttp://eddylab.org/infernal/
R-scapehttp://eddylab.org/R-scape/
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