Update README.md

README.md

@@ -132,14 +132,15 @@ First we have to combine all our contigs to one fasta-list
 
 ```shell
 concatenate.py /path/to/catalogue.fna.gz /path/to/assemblies/sample1/contigs.fasta
-/path/to/assemblies/sample2/contigs.fasta```
-
-Second
-
+/path/to/assemblies/sample2/contigs.fasta
+```
+Second we use our aligned and sorted reads together with the fasta catalogue to generate the corresponding bins.
 ```shell
 vamb --outdir path/to/outdir --fasta /path/to/catalogue.fna.gz --bamfiles /path/to/bam/*.bam -o C --minfasta 200000
 ```
 
+Vamb is a metagenomic binner which feeds sequence composition information from a contig catalogue and co-abundance information from BAM files into a variational autoencoder and clusters the latent representation. It performs excellently with multiple samples, and pretty good on single-sample data. Vamb is implemented purely in Python (with a little bit of Cython) and can be used both from command line and from within a Python interpreter.
+
 ## Bin Refining
 -DAS Tool