Update index.md

docs/index.md

@@ -2,7 +2,7 @@
 
   <h1 style="font-size: 250%">HiIP 🔬</h1>
 
-  <b><i>long pipeline name</i></b><br> 
+  <b><i>Restriction enzyme free HiChIP</i></b><br> 
   <a href="https://github.com/OpenOmics/HiIP/actions/workflows/main.yaml">
     <img alt="tests" src="https://github.com/OpenOmics/HiIP/workflows/tests/badge.svg">
   </a>
@@ -17,14 +17,14 @@
   </a>
 
   <p>
-    This is the home of the pipeline, HiIP. Its long-term goals: to accurately ...insert goal, to infer ...insert goal, and to boldly ...insert goal like no pipeline before!
+    This is the home of the pipeline, HiIP. Its long-term goals: to accurately align restriction enzyme free (DNAse/MNase digested) HiChIP data, create contact maps, and to boldly identify loops and TADs like no pipeline before!
   </p>
 
 </div>  
 
 
 ## Overview
-Welcome to HiIP's documentation! This guide is the main source of documentation for users that are getting started with the [long pipeline name](https://github.com/OpenOmics/HiIP/). 
+Welcome to HiIP's documentation! This guide is the main source of documentation for users that are getting started with the [Restriction enzyme free HiChIP](https://github.com/OpenOmics/HiIP/). 
 
 The **`./HiIP`** pipeline is composed several inter-related sub commands to setup and run the pipeline across different systems. Each of the available sub commands perform different functions: 
 
@@ -58,7 +58,7 @@ The **`./HiIP`** pipeline is composed several inter-related sub commands to setu
 
 </section>
 
-**HiIP** is a comprehensive ...insert long description. It relies on technologies like [Singularity<sup>1</sup>](https://singularity.lbl.gov/) to maintain the highest-level of reproducibility. The pipeline consists of a series of data processing and quality-control steps orchestrated by [Snakemake<sup>2</sup>](https://snakemake.readthedocs.io/en/stable/), a flexible and scalable workflow management system, to submit jobs to a cluster.
+**HiIP** is a comprehensive pipeline to process restriction enzyme free (DNAse/MNase digested) HiChIP data. It relies on technologies like [Singularity<sup>1</sup>](https://singularity.lbl.gov/) to maintain the highest-level of reproducibility. The pipeline consists of a series of data processing and quality-control steps orchestrated by [Snakemake<sup>2</sup>](https://snakemake.readthedocs.io/en/stable/), a flexible and scalable workflow management system, to submit jobs to a cluster.
 
 The pipeline is compatible with data generated from Illumina short-read sequencing technologies. As input, it accepts a set of FastQ files and can be run locally on a compute instance or on-premise using a cluster. A user can define the method or mode of execution. The pipeline can submit jobs to a cluster using a job scheduler like SLURM (more coming soon!). A hybrid approach ensures the pipeline is accessible to all users.