diff --git a/readme.md b/readme.md
index cc6cb03..88a4240 100644
--- a/readme.md
+++ b/readme.md
@@ -20,8 +20,8 @@ The problem of pairing TCRA/TCRB sequences thus reduces to the "assignment probl
 matching on a bipartite graph--the subset of vertex-disjoint edges whose weights sum to the maximum possible value.
 
 This is a well-studied combinatorial optimization problem, with many known solutions.
-The most efficient algorithm known to the author for maximum weight matching of a bipartite graph with strictly integral weights
-is from Duan and Su (2012). For a graph with m edges, n vertices per side, and maximum integer edge weight N, 
+The most efficient algorithm known to the author for maximum weight matching of a bipartite graph with strictly integral
+weights is from Duan and Su (2012). For a graph with m edges, n vertices per side, and maximum integer edge weight N, 
 their algorithm runs in **O(m sqrt(n) log(N))** time. As the graph representation of a pairSEQ experiment is 
 bipartite with integer weights, this algorithm is ideal for BiGpairSEQ.
 
@@ -203,8 +203,9 @@ Options for creating a Graph/Data file:
 
 These files do not have a human-readable structure, and are not portable to other programs.
 
-(For portability to other software, turn on GraphML output in the Options menu. This will produce a .graphml file
-for the weighted graph, with vertex attributes sequence, type, and occupancy data.)
+(For portability to other software, turn on GraphML output in the Options menu in interactive mode, or use the -graphml
+command line argument. This will produce a .graphml file for the weighted graph, with 
+vertex attributes for sequence, type, and occupancy data.)
 
 ---