From 0e8a0c13e47285b829da6b5bfe246b939e9eb8ec Mon Sep 17 00:00:00 2001 From: Christophe Tav Date: Wed, 12 Nov 2025 22:42:47 -0500 Subject: [PATCH] fix dead links in README --- README.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index e2a1bfda..0ac858c6 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ We are having difficulty with the API on Zenodo and are working to find a better host for our data. Please be patient while we fix these issues. # Easy access to CPTAC data -This software provides easy access to cancer data from the National Cancer Institute's CPTAC program, which characterizes and studies the proteogenomic landscape of tumors. We implement the software as a Python package called `cptac`, but you can seamlessly use it in an R environment with the help of the `reticulate` package (demonstrated in [Tutorial 6](https://paynelab.github.io/cptac/tutorial06_cptac_in_R.html)). Our package is installed in one step with `pip`: +This software provides easy access to cancer data from the National Cancer Institute's CPTAC program, which characterizes and studies the proteogenomic landscape of tumors. We implement the software as a Python package called `cptac`, but you can seamlessly use it in an R environment with the help of the `reticulate` package (demonstrated in [Tutorial 7](https://paynelab.github.io/cptac/tutorial07_cptac_in_R.html)). Our package is installed in one step with `pip`: ``` pip install cptac ``` @@ -38,7 +38,8 @@ You can access the tutorials and use cases as static webpages using the links be - [Tutorial 3: Joining dataframes with cptac](https://paynelab.github.io/cptac/tutorial03_joining_dataframes.html) - [Tutorial 4: Understanding multi-indexes](https://paynelab.github.io/cptac/tutorial04_multiindex.html) - [Tutorial 5: How to keep up to date with new package and data releases](https://paynelab.github.io/cptac/tutorial05_updates.html) -- [Tutorial 6: Easy integration with R](https://paynelab.github.io/cptac/tutorial06_cptac_in_R.html) +- [Tutorial 6: CPTAC basics review](https://paynelab.github.io/cptac/tutorial06_review.html) +- [Tutorial 7: Easy integration with R](https://paynelab.github.io/cptac/tutorial07_cptac_in_R.html) ### Use cases - [Use Case 1: Comparing transcriptomics and proteomics](https://paynelab.github.io/cptac/usecase01_omics.html)