Merge branch 'master' of https://github.com/COMBINE-lab/minnow

README.md

@@ -1,8 +1,4 @@
-
-[docker](docker pull hrksrkr/minnow)
-[tutorial](https://combine-lab.github.io/alevin-tutorial/2019/running-minnow/)
-[![Build Status](https://travis-ci.org/COMBINE-lab/salmon.svg?branch=master)](https://travis-ci.org/COMBINE-lab/salmon)
-
+[![Build Status](https://travis-ci.org/COMBINE-lab/minnow.svg?branch=master)](https://travis-ci.org/COMBINE-lab/minnow)
 # Minnow ( read level simulator for dscRNA-seq data)
 
 Most analysis pipelines validate their results using known marker genes (which are not widely available for all types of analysis) and by using simulated data from gene-count-level simulators. Typically, the impact of using different read-alignment or UMI deduplication methods has not been widely explored. Assessments based on simulation tend to start at the level of assuming a simulated count matrix, ignoring the effect that different approaches for resolving UMI counts from the raw read data may produce. Here, we present minnow, a comprehensive sequence-level droplet-based single-cell RNA-seq (dscRNA-seq) experiment simulation framework.  Minnow accounts for important sequence-level characteristics of experimental scRNA-seq datasets and models effects such as PCR amplification,  CB (cellular barcodes) and UMI (Unique Molecule Identifiers) selection, and sequence fragmentation and sequencing. 
@@ -13,6 +9,12 @@ Minnow is a read level simulator for droplet based single cell RNA-seq data. Min
 <img src="data/minnow_main_figure.001.jpeg">
 </p>
 
+## Pre-build images
+
+[docker](`docker pull hrksrkr/minnow`)
+
+[tutorial](https://combine-lab.github.io/alevin-tutorial/2019/running-minnow/)
+
 
 ## Installation 
 Minnow is written in C++14 and tested in a ubuntu server, please let us know if you have difficulty compiling it in your own machine.