Update assessimg_variants.md

2024/assessimg_variants.md

@@ -1,5 +1,7 @@
 # Assessing the variants
 
+Ensure that you have VCF files for all samples as diuscussed in class. Follow in-class steps (Apr 16 class) to convert datasets into tab-delimited data (like [this](https://usegalaxy.org/api/datasets/f9cad7b01a47213514039202b7df415a/display?to_ext=tabular)).
+
 ## Establish the relationship between samples and accessions
 
 First, classify samples using an approach like this:
@@ -10,8 +12,9 @@ Then, enter the data into a [spreadsheet](https://docs.google.com/spreadsheets/d
 
 [![image](https://github.com/nekrut/BMMB554/assets/4291636/b15c76ef-7cef-4b21-a871-e3a441731bc9)](https://docs.google.com/spreadsheets/d/1Vtgkz81bJOCvcIz67-pCbqRMBtNCcNYq7OGcJnOQSVs/edit?usp=sharing)
 
+## Switch to Jupyter
 
+- Import tab-delimited variant data into Pandas
+- Import sample/accession mapping into Pandas
 
-
-Import concatenated variant list
-
+Explore!