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learner profile #33

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Sep 13, 2024
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learner profile #33

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21 changes: 19 additions & 2 deletions profiles/learner-profiles.md
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title: FIXME
title: Learner profiles
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This is a placeholder file. Please add content here.
This course is aimed at graduate students, postdocs, and faculty interested in learning about single cell analysis in the Bioconductor ecosystem in R. Learners should have a solid basis in the following foundational areas:

* Molecular biology basics on concepts such as DNA sequencing, cell structure, and the central dogma of molecular biology
* Statistics basics such as hypothesis tests, summary statistics, principal component analysis
* R basics such as variable assignment, accessing object components, and looking up help documentation

The following online textbooks provide excellent coverage of these and related topics if you would like a refresher:

* *Molecular Biology of the Cell*, Alberts et al.
* [Modern Statistics for Modern Biology](https://www.huber.embl.de/msmb/)
* [R for Data Science (2e)](https://r4ds.hadley.nz/)

The following are *not* required:

* your own single-cell dataset (we use publicly available data)
* access to high-performance computing environments (we use small demonstrative examples that are tractable on any reasonably modern laptop)


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