differences for PR #33

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)
+
+

md5sum.txt

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 "instructors/instructor-notes.md" "cae72b6712578d74a49fea7513099f8c" "site/built/instructor-notes.md" "2024-09-06"
 "learners/reference.md" "40fc1d0be2412d2d9d434a5bc84e4de8" "site/built/reference.md" "2024-09-06"
 "learners/setup.md" "25772142a26fe3c0cebbe650f5683269" "site/built/setup.md" "2024-09-06"
-"profiles/learner-profiles.md" "60b93493cf1da06dfd63255d73854461" "site/built/learner-profiles.md" "2024-09-06"
+"profiles/learner-profiles.md" "074074346a544b8d2e0774998781c5d4" "site/built/learner-profiles.md" "2024-09-13"
 "renv/profiles/lesson-requirements/renv.lock" "87b3c66adb8682516c1511559b5393f9" "site/built/renv.lock" "2024-09-06"