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The Researcher Toolkit – Bioinformatics Edition
Research Data Services at UW-Madison has created a Researcher Toolkit that details main steps, considerations and options when planning a research project. This page aims to add to the information there by adding some bioinformatics related food-for-though.
Plan:
What is your biological research question?
Do you work with sensitive data?
What is your budget to generate new omics data? Or will you use existing publicly available data?
What are the data policies for the data you wish to use?
What are you current computational skills and where would you like to be?
Gather Data:
Has your project started? Did you “inherit” data from your lab? Or will you be generating new one?
What will your experimental design look like?
What type of sequencing will you be performing? How many samples? Where will you sequence the data?
Analyze and Visualize Data:
What data size are you working with (GBs, TBs, etc.)
What is the optimal to run your analyses (locally, web-interface, command-line only server, distributed system)?
Do you anticipate having to redo this analysis in the future? Over hundreds of samples?
How will you keep track of your bioinformatics code?
Will you be using version control (git)?
How will you organize your data?
How will you identify the most appropriate bioinformatic tools or pipelines to answer your question?
Publish Research Artifacts
Most sequencing data is required to be published along with publications.
Will you be uploading your data to NCBI (Genbank) or other biological data repository?
Do you have metadata related to your experiment that you need to share?
It’s more and more common for people to publish the code used to analyze data along with the results.
Do you have bioinformatics software to publish? Do you know which license to use?
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