From abaeaa9419c05fb383b7d0e8bab3e1cda84f8de3 Mon Sep 17 00:00:00 2001
From: David Bonet <61311252+davidbonet@users.noreply.github.com>
Date: Thu, 27 Feb 2025 12:12:52 -0800
Subject: [PATCH] Update README.md

---
 benchmark/README.md | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/benchmark/README.md b/benchmark/README.md
index c852f96..b20e374 100644
--- a/benchmark/README.md
+++ b/benchmark/README.md
@@ -8,13 +8,13 @@ On the chromosome 22 of the 1000 Genomes Project dataset:
 
 ## Running the benchmark
 
-The benchmark is run with the following command in the Phoenix compute cluster of the University of California Santa Cruz Genomics Institute:
+The benchmark can be run using conda and pip:
 
 ```bash
 conda create -n snputils python=3.12
 conda activate snputils
 pip install snputils[benchmark]
-bash benchmark/run.sh --data-dir /private/groups/ioannidislab/salcc/snputils_data
+bash benchmark/run.sh --data-dir $DATA_DIR
 ```
 The `--data-dir` argument specifies the directory where the data is stored. If the argument is not provided, it is stored in the `data` directory in the root of the repository. If the data is not found in the directory, it is downloaded from the internet.
 
@@ -32,4 +32,4 @@ python plot.py \
 
 ## Contributing
 
-We strive to ensure fair comparisons across all libraries in our benchmark. If you believe the implementation using any of the compared libraries could be made more efficient, we warmly welcome your contributions! Please don't hesitate to open a pull request with your improvements. This helps ensure we're showcasing each library's best performance characteristics and benefits the entire genomics community.
\ No newline at end of file
+We strive to ensure fair comparisons across all libraries in our benchmark. If you believe the implementation using any of the compared libraries could be made more efficient, we warmly welcome your contributions! Please don't hesitate to open a pull request with your improvements. This helps ensure we're showcasing each library's best performance characteristics and benefits the entire genomics community.