Skip to content

Releases: AlexsLemonade/scpca-downstream-analyses

ScPCA Downstream Analyses v0.1.6

16 Aug 17:06
60d265d
Compare
Choose a tag to compare

What's Changed

  • Addition of data integration module
  • Update independent installation docs

Full Changelog: v0.1.5...v0.1.6

ScPCA Downstream Analyses v0.1.5

07 Apr 18:55
179d65a
Compare
Choose a tag to compare

What's Changed

  • Sync core analysis results files to S3 in #292
  • Sync clustering analysis results files to S3 in #293
  • Fix broken links and update release checklist in #296
  • Re-organize clustering module README and add section on colData contents in #295
  • Sync GOI example results files to S3 in #297
  • Sync processed SCE object file name in #304
  • Add note on what Snakemake is in #305
  • Make gene filtering optional in core workflow in #307
  • Update miQC filtering - remove cells with low gene count in #317
  • Update normalization and variable genes metadata in #318
  • Remove outdated GOI files in #321
  • Move to conda-managed R in #322
  • Separate results_dir from input dir variable in clustering and GOI modules in #324
  • Add documentation on working with ScPCA portal data in #326
  • Sync file path instructions in #329
  • Re-structure running the workflow docs in #328
  • Set theme and update GOI plot labels in #330

Full Changelog: v0.1.4...v0.1.5

Usability Eval Release

21 Mar 15:23
eb21d34
Compare
Choose a tag to compare

This release should be used to conduct usability evals of the core downstream analysis workflow.

ScPCA Downstream analysis v0.1.4 - Genes of Interest Module Refactor

09 Feb 17:32
e491b4a
Compare
Choose a tag to compare

This release refactors the optional genes of interest (GOI) module to help users better evaluate expression of a specific list of genes in a sample dataset.

What's Changed

  • Move independent installation instructions to separate doc in #248
  • Add GOI analysis calculations script in #230
  • Replace expected output screenshot with code block in #251
  • Add more details on the mitochondrial gene list in #252
  • Make link to processing info doc more prominent in #254
  • Move filtering method to config file in #255
  • Add QuickStart guide to README in #256
  • Add section on core workflow output SCE contents in #257
  • Document core analysis template report in #261
  • Update development w/ core changes merged into main in #264
  • Initiate GOI module README in #246
  • Refactor GOI template notebook in #232
  • Add number of filtered cells to metadata of SCE in #269
  • Add UMAP plot labels in core workflow in #268
  • Fix how we handle annotation when gene set is NULL in #271
  • Generalize GOI plotting functions in #270
  • Add example results files to repo/Ignore project-specific files in #276
  • Update core analysis docs in #278
  • Initiate GOI Snakefile - Calculations Rule in #279
  • Initiate GOI Snakefile - Generate report rule in #280
  • Add overwrite option to GOI script in #285
  • Update GOI docs on how to run the workflow in #281
  • Add section to GOI docs with details on mapping genes in #284
  • Update GOI docs TOC by in #286
  • ScPCA-downstream-analyses Release v0.1.4 in #288

Full Changelog: v0.1.3...v0.1.4

ScPCA Downstream analysis v0.1.3 - Core Workflow Updates

29 Nov 18:54
ccb93ee
Compare
Choose a tag to compare

This release includes documentation and structural updates to the core workflow analysis.

What's Changed

  • Move independent installation instructions to a separate doc in #248
  • Replace expected output screenshot with code block in #251
  • Add more details on the mitochondrial gene list in #252
  • Move filtering method to config file and metadata file to example-data in #255
  • Add quick start guide section to README in #256
  • Add subsection on SCE contents in #257
  • Document core analysis report template in #261

Full Changelog: v0.1.2...v0.1.3

ScPCA Downstream Analyses v0.1.2 - Addition of the Clustering Module

28 Oct 21:36
d59a46c
Compare
Choose a tag to compare

This release includes the addition of the optional clustering module which can be used to explore different methods of clustering and test a range of parameter values for given graph-based clustering methods in order to identify the optimal clustering for each library.

What's Changed

  • Update R to 4.2 & Bioconductor to 3.15 in #202
  • Add optional clustering calculations script in #191
  • Add overwrite option to optional clustering calculations script in #203
  • Add docs to clustering template notebook in #210
  • Add optional clustering report template in #207
  • Initialize optional clustering directory README in #213
  • Fix restore argument to use input lockfile in #216
  • Pin pandoc version in #219
  • Initiate Snakefile for optional clustering module - calculations rule in #214
  • Optional clustering Snakefile - rendering template report rule in #215
  • How to run the optional clustering workflow docs in #220
  • Add logs to snakemake rules in #222
  • Implement docs feedback from heuristic walkthrough in #223
  • Account for additional cluster_type in clustering calculations script in #224
  • Account for additional cluster_type in clustering report in #226
  • Fix typos in README.md in #234

Full Changelog: v0.1.1...v0.1.2

ScPCA Downstream analysis v0.1.1

23 Aug 18:19
3c70596
Compare
Choose a tag to compare
Pre-release

Fixes workflow path error

What's Changed

  • fix extra slash in #204

Full Changelog: v0.1.0...v0.1.1

Initial Release of ScPCA Downstream Analyses Workflow v0.1.0

18 Aug 17:48
f117f35
Compare
Choose a tag to compare

This is the initial release of the core workflow in scpca-downstream-analyses used for analyzing single-cell gene expression data available on the Single-cell Pediatric Cancer Atlas Portal. The workflow performs filtering, normalization, dimensionality reduction, and clustering of individual single-cell libraries, returning the processed single-cell data and a summary report for each library.