Finish reverting back to wells-as-rows
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@@ -99,7 +99,7 @@ public class PlateFileWriter {
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else {
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printer.printComment("Std. dev.: " + stdDev);
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}
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printer.printRecords(rows);
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printer.printRecords(wellsAsStrings);
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} catch(IOException ex){
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System.out.println("Could not make new file named "+filename);
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System.err.println(ex);
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@@ -681,17 +681,6 @@ public class UserInterface {
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System.out.println("This program simulates BiGpairSEQ, a graph theory based adaptation");
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System.out.println("of the pairSEQ algorithm for pairing T cell receptor sequences.");
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System.out.println();
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System.out.println("Unlike pairSEQ, which calculates p-values for every TCR alpha/beta overlap and compares");
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System.out.println("against a null distribution, BiGpairSEQ does not do any statistical calculations");
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System.out.println("directly. Instead, BiGpairSEQ creates a simple bipartite weighted graph representing");
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System.out.println("the sample plate. The distinct TCRA and TCRB sequences form the two sets of vertices.");
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System.out.println("Every TCRA/TCRB pair that share a well are connected by an edge, with the edge weight");
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System.out.println("set to the number of wells in which both sequences appear. (Sequences in all wells are");
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System.out.println("filtered out prior to creating the graph, as there is no signal in their occupancy");
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System.out.println("pattern.) The problem of pairing TCRA/TCRB sequences thus reduces to the \"assignment");
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System.out.println("problem\" of finding a maximum weight matching on a bipartite graph--the subset of");
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System.out.println("vertex-disjoint edges whose weights sum to the maximum possible value.");
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System.out.println();
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System.out.println("For full documentation, see: https://gitea.ejsf.synology.me/efischer/BiGpairSEQ");
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System.out.println();
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System.out.println("pairSEQ citation:");
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