updates the readme

README.md

@@ -9,14 +9,14 @@ Download the repository from [GitHub](https://github.com/knightlab-analyses/bloo
 ```
 conda create -n bloom pip python=3 numpy jupyter seaborn matplotlib=1.5.1 statsmodels
 source activate bloom
-pip install scikit-bio==0.5.0
-pip install git+https://github.com/amnona/heatsequer.git
+pip install scikit-bio
 pip install emperor --pre
 pip install -e .
 ```
 ## Notebooks
 All analysis notebooks can be initialized by running the command `jupyter notebook` from the terminal.
 
-* [**ag\_alpha\_diversity.ipynb**](ipynb/ag\_alpha\_diversity.ipynb): Evaluates the effect of the identified bloom sequences on the difference in alpha diversity in the [American Gut Project](http://americangut.org/) data
+* [**ag\_alpha\_diversity.ipynb**](ipynb/ag_alpha_diversity.ipynb): Evaluates the effect of the identified bloom sequences on the difference in alpha diversity in the [American Gut Project](http://americangut.org/) data
+* [**bloom\_example**](ipynb/bloom_example.ipynb) Demonstrates the application of the bloom filter to sample data
 * [**effect-of-blooms-on-bray-curtis-distance.ipynb**](ipynb/effect-of-blooms-on-bray-curtis-distance.ipynb): Evaluates changes in beta diversity between samples shipped through local post and samples that were frozen shortly after collection.
 * [**identify-candidate-blooms.ipynb**](ipynb/identify-candidate-blooms.ipynb): Identifies the bloom sequences in the American Gut data based on comparison with storage studies and fresh frozen samples.