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@@ -188,3 +188,66 @@ For more information on parameters and options please refer to main SPAligner ma
 Also if you want to align protein sequences please refer to our [pre-release version](https://github.com/ablab/spades/releases/tag/spaligner-paper).
 
 Note that in order you use SPAligner one need either to use pre-built binaries or compiler SPAdes from sources using additional `-DSPADES_ENABLE_PROJECTS=spaligner` option.
+
+# Binning refining using assembly graphs
+
+BinSPreader is a tool that attempts to refine metagenome-assembled genomes (MAGs) obtained from existing tools. BinSPreader exploits the assembly graph topology and other connectivity information, such as paired-end and Hi-C reads, to refine the existing binning, correct binning errors, propagate binning from longer contigs to shorter contigs, and infer contigs belonging to multiple bins.
+
+The tool requires initial binning to refine, as well as an assembly graph as a source of information for refining. Optionally, BinSPreader can be provided with multiple Hi-C and/or paired-end libraries.
+
+Required positional arguments: 
+
+- Assembly graph file in [GFA 1.0 format](https://github.com/GFA-spec/GFA-spec/blob/master/GFA1.md), with scaffolds included as path lines. Alternatively, scaffold paths can be provided separately using `--path` option in the `.paths` format accepted by Bandage (see [Bandage wiki](https://github.com/rrwick/Bandage/wiki/Graph-paths) for details). 
+- Binning output from an existing tool (in `.tsv` format)
+
+Synopsis: `binspreader <graph (in GFA)> <binning (in .tsv)> <output directory> [OPTION...]`
+
+Main options:
+
+`--paths`
+    provide contigs paths from file separately from GFA
+
+`--dataset` 
+    Dataset in [YAML format](running.md#specifying-multiple-libraries-with-yaml-data-set-file) describing Hi-C and paired-end reads
+
+ `-t` 
+    Number of threads to use (default: 1/2 of available threads)
+
+ `-m` 
+    Allow multiple bin assignment (defalut: false)
+    
+ `-Smax|-Smle` 
+     Simple maximum or maximum likelihood binning assignment strategy (default: max likelihood)
+     
+ `-Rcorr|-Rprop` 
+     Select propagation or correction mode (default: correction)
+     
+`--cami` 
+    Use CAMI bioboxes binning format
+    
+`--zero-bin` 
+    Emit zero bin for unbinned sequences
+    
+`--tall-multi` 
+    Use tall table for multiple binning result
+    
+`--bin-dist` 
+    Estimate pairwise bin distance (could be slow on large graphs!)
+    
+`-la` 
+    Labels correction regularization parameter for labeled data (default: 0.6)
+
+
+BinSPreader stores all output files in output directory `<output_dir> ` set by the user.
+
+- `<output_dir>/binning.tsv` contains refined binning in `.tsv` format
+- `<output_dir>/bin_stats.tsv` contains various per-bin statistics
+- `<output_dir>/bin_weights.tsv` contains soft bin weights per contig
+- `<output_dir>/edge_weights.tsv` contains soft bin weights per edge
+
+In addition
+
+- `<output_dir>/bin_dist.tsv` contains refined bin distance matrix (if `--bin-dist` was used)
+- `<output_dir>/bin_label_1.fastq, <output_dir>/bin_label_2.fastq` read set for bin labeled by `bin_label` (if `--reads` was used)
+- `<output_dir>/pe_links.tsv` list of paired-end links between assembly graph edges with weights (if `--debug` was used)
+- `<output_dir>/graph_links.tsv` list of graph links between assembly graph edges with weights (if `--debug` was used)