From c1eaabdc9b5057a83eb68fbdd9b2f6dd29f05a26 Mon Sep 17 00:00:00 2001
From: pswain <peter.swain@ed.ac.uk>
Date: Tue, 23 Jan 2024 18:44:15 +0000
Subject: [PATCH] Update README.md

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 README.md | 18 +++++++++---------
 1 file changed, 9 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
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 # Wela
 
-A package to analyse output from aliby.
+A package to analyse output from `aliby`.
 
-Wela uses the h5 files created by aliby to create a dataframe and save this dataframe as a text file. 
+`wela` uses the h5 files created by `aliby` to generate a dataframe and save this dataframe as a text file. 
 
-With Wela, you can use a Gaussian process to generate single-cell growth rates.
+With `wela`, you can use a Gaussian process to generate single-cell growth rates.
 
-Wela includes plotting routines for common tasks, such as kymographs and plotting single lineages for one ALCATRAS trap.
+`wela` includes plotting routines for common tasks, such as kymographs and plotting single lineages for one ALCATRAS trap.
 
 ## Installing
 
-Clone the gitlab repository and install with poetry.
+Clone the gitlab repository and install with `poetry`.
 
 ## Getting started
 
 There are example scripts in `wela/examples`.
 
-Use
+Consult
 
-- `create_tsv.py` to see how to generate a tsv file of the data
-- `plot_kymograph.py` to see how to generate a kymograph
-- `run_gr.py` to learn how to estimate single-cell growth rates.
+- `create_tsv.py` to generate a tsv (tab separated value) file of the data
+- `plot_kymograph.py` to generate a kymograph
+- `run_gr.py` to estimate single-cell growth rates.
 
-- 
GitLab