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80
readme.md
80
readme.md
@@ -20,8 +20,8 @@ The problem of pairing TCRA/TCRB sequences thus reduces to the "assignment probl
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matching on a bipartite graph--the subset of vertex-disjoint edges whose weights sum to the maximum possible value.
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This is a well-studied combinatorial optimization problem, with many known solutions.
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The most efficient algorithm known to the author for maximum weight matching of a bipartite graph with strictly integral weights
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is from Duan and Su (2012). For a graph with m edges, n vertices per side, and maximum integer edge weight N,
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The most efficient algorithm known to the author for maximum weight matching of a bipartite graph with strictly integral
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weights is from Duan and Su (2012). For a graph with m edges, n vertices per side, and maximum integer edge weight N,
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their algorithm runs in **O(m sqrt(n) log(N))** time. As the graph representation of a pairSEQ experiment is
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bipartite with integer weights, this algorithm is ideal for BiGpairSEQ.
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@@ -43,13 +43,13 @@ Run with the command:
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`java -jar BiGpairSEQ_Sim.jar`
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Processing sample plates with tens of thousands of sequences may require large amounts
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of RAM. It is often desirable to increase the JVM maximum heap allocation with the -Xmx flag.
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of RAM. It is often desirable to increase the JVM maximum heap allocation with the `-Xmx` flag.
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For example, to run the program with 32 gigabytes of memory, use the command:
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`java -Xmx32G -jar BiGpairSEQ_Sim.jar`
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There are a number of command line options, to allow the program to be used in shell scripts. For a full list,
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use the -help flag:
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use the `-help` flag:
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`java -jar BiGpairSEQ_Sim.jar -help`
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@@ -108,7 +108,7 @@ device-specific.)
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The program's caching behavior can be controlled in the Options menu. By default, all caching is OFF.
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The program can optionally output Graph/Data files in .GraphML format (.graphml) for data portability. This can be
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The program can optionally output Graph/Data files in GraphML format (.graphml) for data portability. This can be
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turned on in the Options menu. By default, GraphML output is OFF.
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---
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@@ -203,8 +203,13 @@ Options for creating a Graph/Data file:
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These files do not have a human-readable structure, and are not portable to other programs.
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(For portability to other software, turn on GraphML output in the Options menu. This will produce a .graphml file
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for the weighted graph, with vertex attributes sequence, type, and occupancy data.)
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*Optional GraphML output*
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For portability of graph data to other software, turn on [GraphML](http://graphml.graphdrawing.org/index.html) output
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in the Options menu in interactive mode, or use the `-graphml`command line argument. This will produce a .graphml file
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for the weighted graph, with vertex attributes for sequence, type, and occupancy data. This graph contains all the data
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necessary for the BiGpairSEQ matching algorithm. It does not include the data to measure pairing accuracy; for that,
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compare the matching results to the original Cell Sample .csv file.
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---
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@@ -259,29 +264,77 @@ Example output:
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P-values are calculated *after* BiGpairSEQ matching is completed, for purposes of comparison only,
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using the (2021 corrected) formula from the original pairSEQ paper. (Howie, et al. 2015)
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### PERFORMANCE
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Performance details of the example excerpted above:
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## PERFORMANCE
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On a home computer with a Ryzen 5600X CPU, 64GB of 3200MHz DDR4 RAM (half of which was allocated to the Java Virtual Machine), and a PCIe 3.0 SSD, running Linux Mint 20.3 Edge (5.13 kernel),
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the author ran a BiGpairSEQ simulation of a 96-well sample plate with 30,000 T cells/well comprising ~11,800 alphas and betas,
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taken from a sample of 4,000,000 distinct cells with an exponential frequency distribution.
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taken from a sample of 4,000,000 distinct cells with an exponential frequency distribution (lambda 0.6).
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With min/max occupancy threshold of 3 and 94 wells for matching, and no other pre-filtering, BiGpairSEQ identified 5,151
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correct pairings and 18 incorrect pairings, for an accuracy of 99.652%.
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The simulation time was 14'22". If intermediate results were held in memory, this would be equivalent to the total elapsed time.
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The total simulation time was 14'22". If intermediate results were held in memory, this would be equivalent to the total elapsed time.
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Since this implementation of BiGpairSEQ writes intermediate results to disk (to improve the efficiency of *repeated* simulations
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with different filtering options), the actual elapsed time was greater. File I/O time was not measured, but took
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slightly less time than the simulation itself. Real elapsed time from start to finish was under 30 minutes.
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As mentioned in the theory section, performance could be improved by implementing a more efficient algorithm for finding
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the maximum weighted matching.
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## BEHAVIOR WITH RANDOMIZED WELL POPULATIONS
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A series of BiGpairSEQ simulations were conducted using a cell sample file of 3.5 million unique T cells. From these cells,
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10 sample plate files were created. All of these sample plates had 96 wells, used an exponential distribution with a lambda of 0.6, and
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had a sequence dropout rate of 10%.
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The well populations of the plates were:
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* One sample plate with 1000 T cells/well
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* One sample plate with 2000 T cells/well
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* One sample plate with 3000 T cells/well
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* One sample plate with 4000 T cells/well
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* One sample plate with 5000 T cells/well
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* Five sample plates with each individual well's population randomized, from 1000 to 5000 T cells. (Average population ~3000 T cells/well.)
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All BiGpairSEQ simulations were run with a low overlap threshold of 3 and a high overlap threshold of 94.
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No optional filters were used, so pairing was attempted for all sequences with overlaps within the threshold values.
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Constant well population plate results:
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| |1000 Cell/Well Plate|2000 Cell/Well Plate|3000 Cell/Well Plate|4000 Cell/Well Plate|5000 Cell/Well Plate
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|---|---|---|---|---|---|
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|Total Alphas Found|6407|7330|7936|8278|8553|
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|Total Betas Found|6405|7333|7968|8269|8582|
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|Pairing Attempt Rate|0.661|0.653|0.600|0.579|0.559|
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|Correct Pairing Count|4231|4749|4723|4761|4750|
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|Incorrect Pairing Count|3|34|40|26|29|
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|Pairing Error Rate|0.000709|0.00711|0.00840|0.00543|0.00607|
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|Simulation Time (Seconds)|500|643|700|589|598|
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Randomized well population plate results:
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| |Random Plate 1 | Random Plate 2|Random Plate 3|Random Plate 4|Random Plate 5|Average|
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|---|---|---|---|---|---|---|
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Total Alphas Found|7853|7904|7964|7898|7917|7907|
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Total Betas Found|7851|7891|7920|7910|7894|7893|
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Pairing Attempt Rate|0.607|0.610|0.601|0.605|0.603|0.605|
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Correct Pairing Count|4718|4782|4721|4755|4731|4741|
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Incorrect Pairing Count|51|35|42|27|29|37|
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Pairing Error Rate|0.0107|0.00727|0.00882|0.00565|0.00609|0.00771|
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Simulation Time (Seconds)|590|677|730|618|615|646|
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The average results for the randomized plates are closest to the constant plate with 3000 T cells/well.
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This and several other tests indicate that BiGpairSEQ treats a sample plate with a highly variable number of T cells/well
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roughly as though it had a constant well population equal to the plate's average well population.
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## TODO
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* ~~Try invoking GC at end of workloads to reduce paging to disk~~ DONE
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* ~~Hold graph data in memory until another graph is read-in? ABANDONED UNABANDONED~~ DONE
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* ~~*No, this won't work, because BiGpairSEQ simulations alter the underlying graph based on filtering constraints. Changes would cascade with multiple experiments.*~~
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* Might have figured out a way to do it, by taking edges out and then putting them back into the graph. This may actually be possible.
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* It is possible, though the modifications to the graph incur their own performance penalties. Need testing to see which option is best.
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* It is possible, though the modifications to the graph incur their own performance penalties. Need testing to see which option is best. It may be computer-specific.
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* ~~Test whether pairing heap (currently used) or Fibonacci heap is more efficient for priority queue in current matching algorithm~~ DONE
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* ~~in theory Fibonacci heap should be more efficient, but complexity overhead may eliminate theoretical advantage~~
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* ~~Add controllable heap-type parameter?~~
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@@ -295,6 +348,7 @@ slightly less time than the simulation itself. Real elapsed time from start to f
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* _Got this working, but at the cost of a profoundly strange bug in graph occupancy filtering. Have reverted the repo until I can figure out what caused that. Given how easily Thingiverse transposes CSV matrices in R, might not even be worth fixing.
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* ~~Enable GraphML output in addition to serialized object binaries, for data portability~~ DONE
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* ~~Custom vertex type with attribute for sequence occupancy?~~ ABANDONED
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* Advantage: would eliminate the need to use maps to associate vertices with sequences, which would make the code easier to understand.
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* Have a branch where this is implemented, but there's a bug that broke matching. Don't currently have time to fix.
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* ~~Re-implement command line arguments, to enable scripting and statistical simulation studies~~ DONE
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* Re-implement CDR1 matching method
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@@ -314,7 +368,7 @@ slightly less time than the simulation itself. Real elapsed time from start to f
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* [JGraphT](https://jgrapht.org) -- Graph theory data structures and algorithms
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* [JHeaps](https://www.jheaps.org) -- For pairing heap priority queue used in maximum weight matching algorithm
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* [Apache Commons CSV](https://commons.apache.org/proper/commons-csv/) -- For CSV file output
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* [Apache Commons CLI](https://commons.apache.org/proper/commons-cli/) -- To enable command line arguments for scripting. (**Awaiting re-implementation**.)
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* [Apache Commons CLI](https://commons.apache.org/proper/commons-cli/) -- To enable command line arguments for scripting.
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## ACKNOWLEDGEMENTS
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BiGpairSEQ was conceived in collaboration with Dr. Alice MacQueen, who brought the original
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@@ -16,6 +16,7 @@ public class BiGpairSEQ {
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private static String priorityQueueHeapType = "FIBONACCI";
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private static boolean outputBinary = true;
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private static boolean outputGraphML = false;
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private static final String version = "version 2.0";
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public static void main(String[] args) {
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if (args.length == 0) {
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@@ -172,5 +173,5 @@ public class BiGpairSEQ {
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public static boolean outputGraphML() {return outputGraphML;}
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public static void setOutputGraphML(boolean b) {outputGraphML = b;}
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public static String getVersion() { return version; }
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}
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@@ -62,15 +62,18 @@ public class CommandLineInterface {
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if (line.hasOption("help")) {
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HelpFormatter formatter = new HelpFormatter();
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formatter.printHelp("BiGpairSEQ_Sim", mainOptions);
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formatter.printHelp("BiGpairSEQ_Sim.jar", mainOptions);
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System.out.println();
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formatter.printHelp("BiGpairSEQ_SIM -cells", cellOptions);
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formatter.printHelp("BiGpairSEQ_Sim.jar -cells", cellOptions);
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System.out.println();
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formatter.printHelp("BiGpairSEQ_Sim -plate", plateOptions);
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formatter.printHelp("BiGpairSEQ_Sim.jar -plate", plateOptions);
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System.out.println();
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formatter.printHelp("BiGpairSEQ_Sim -graph", graphOptions);
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formatter.printHelp("BiGpairSEQ_Sim.jar -graph", graphOptions);
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System.out.println();
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formatter.printHelp("BiGpairSEQ_Sim -match", matchOptions);
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formatter.printHelp("BiGpairSEQ_Sim.jar -match", matchOptions);
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}
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else if (line.hasOption("version")) {
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System.out.println("BiGpairSEQ_Sim " + BiGpairSEQ.getVersion());
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}
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else if (line.hasOption("cells")) {
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line = parser.parse(cellOptions, Arrays.copyOfRange(args, 1, args.length));
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@@ -153,17 +156,24 @@ public class CommandLineInterface {
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else if (line.hasOption("match")) { //can add a flag for which match type in future, spit this in two
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line = parser.parse(matchOptions, Arrays.copyOfRange(args, 1, args.length));
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String graphFilename = line.getOptionValue("g");
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String outputFilename = line.getOptionValue("o");
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String outputFilename;
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if(line.hasOption("o")) {
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outputFilename = line.getOptionValue("o");
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}
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else {
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outputFilename = null;
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}
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Integer minThreshold = Integer.parseInt(line.getOptionValue("min"));
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Integer maxThreshold = Integer.parseInt(line.getOptionValue("max"));
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Integer minOverlapPct;
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int minOverlapPct;
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if (line.hasOption("minpct")) { //see if this filter is being used
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minOverlapPct = Integer.parseInt(line.getOptionValue("minpct"));
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}
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else {
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minOverlapPct = 0;
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}
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Integer maxOccupancyDiff;
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int maxOccupancyDiff;
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if (line.hasOption("maxdiff")) { //see if this filter is being used
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maxOccupancyDiff = Integer.parseInt(line.getOptionValue("maxdiff"));
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}
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@@ -173,10 +183,38 @@ public class CommandLineInterface {
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GraphWithMapData graph = getGraph(graphFilename);
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MatchingResult result = Simulator.matchCDR3s(graph, graphFilename, minThreshold, maxThreshold,
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maxOccupancyDiff, minOverlapPct, false);
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MatchingFileWriter writer = new MatchingFileWriter(outputFilename, result);
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writer.writeResultsToFile();
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if(outputFilename != null){
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MatchingFileWriter writer = new MatchingFileWriter(outputFilename, result);
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writer.writeResultsToFile();
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}
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//can put a bunch of ifs for outputting various things from the MatchingResult to System.out here
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//after I put those flags in the matchOptions
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if(line.hasOption("print-metadata")) {
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for (String k : result.getMetadata().keySet()) {
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System.out.println(k + ": " + result.getMetadata().get(k));
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}
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}
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if(line.hasOption("print-error")) {
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System.out.println("pairing error rate: " + result.getPairingErrorRate());
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}
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if(line.hasOption("print-attempt")) {
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System.out.println("pairing attempt rate: " +result.getPairingAttemptRate());
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}
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if(line.hasOption("print-correct")) {
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System.out.println("correct pairings: " + result.getCorrectPairingCount());
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}
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if(line.hasOption("print-incorrect")) {
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System.out.println("incorrect pairings: " + result.getIncorrectPairingCount());
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}
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if(line.hasOption("print-alphas")) {
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System.out.println("total alphas found: " + result.getAlphaCount());
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}
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if(line.hasOption("print-betas")) {
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System.out.println("total betas found: " + result.getBetaCount());
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}
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if(line.hasOption("print-time")) {
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System.out.println("simulation time (seconds): " + result.getSimulationTime());
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}
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}
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}
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catch (ParseException exp) {
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@@ -216,8 +254,11 @@ public class CommandLineInterface {
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.longOpt("match-cdr3")
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.desc("Matches CDR3s. Requires a graph/data file.")
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.build();
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Option printVersion = Option.builder("version")
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.desc("Prints the program version number to stdout").build();
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OptionGroup mainGroup = new OptionGroup();
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mainGroup.addOption(help);
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mainGroup.addOption(printVersion);
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mainGroup.addOption(makeCells);
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mainGroup.addOption(makePlate);
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mainGroup.addOption(makeGraph);
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@@ -297,7 +338,7 @@ public class CommandLineInterface {
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.desc("Randomize well populations on sample plate. Takes two arguments: the minimum possible population and the maximum possible population.")
|
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.hasArgs()
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.numberOfArgs(2)
|
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.argName("minimum maximum")
|
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.argName("min> <max")
|
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.build();
|
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Option specificWellPopulations = Option.builder("pop")
|
||||
.desc("The well populations for each section of the sample plate. There will be as many sections as there are populations given.")
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||||
@@ -326,22 +367,22 @@ public class CommandLineInterface {
|
||||
Options graphOptions = new Options();
|
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Option cellFilename = Option.builder("c")
|
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.longOpt("cell-file")
|
||||
.desc("Cell sample file to use for checking accuracy")
|
||||
.desc("Cell sample file to use for checking pairing accuracy")
|
||||
.hasArg()
|
||||
.argName("filename")
|
||||
.required().build();
|
||||
Option plateFilename = Option.builder("p")
|
||||
.longOpt("plate-filename")
|
||||
.desc("Sample plate file (made from given cell sample file) to construct graph from")
|
||||
.desc("Sample plate file from which to construct graph")
|
||||
.hasArg()
|
||||
.argName("filename")
|
||||
.required().build();
|
||||
Option outputGraphML = Option.builder("graphml")
|
||||
.desc("Output GraphML file")
|
||||
.desc("(Optional) Output GraphML file")
|
||||
.build();
|
||||
Option outputSerializedBinary = Option.builder("nb")
|
||||
.longOpt("no-binary")
|
||||
.desc("Don't output serialized binary file")
|
||||
.desc("(Optional) Don't output serialized binary file")
|
||||
.build();
|
||||
graphOptions.addOption(cellFilename);
|
||||
graphOptions.addOption(plateFilename);
|
||||
@@ -379,15 +420,46 @@ public class CommandLineInterface {
|
||||
.hasArg()
|
||||
.argName("number")
|
||||
.build();
|
||||
matchCDR3options.addOption(graphFilename);
|
||||
matchCDR3options.addOption(minOccupancyOverlap);
|
||||
matchCDR3options.addOption(maxOccupancyOverlap);
|
||||
matchCDR3options.addOption(minOverlapPercent);
|
||||
matchCDR3options.addOption(maxOccupancyDifference);
|
||||
matchCDR3options.addOption(outputFileOption());
|
||||
//options for output to System.out
|
||||
//Option printPairingErrorRate = Option.builder()
|
||||
Option outputFile = Option.builder("o") //can't call the method this time, because this one's optional
|
||||
.longOpt("output-file")
|
||||
.hasArg()
|
||||
.argName("filename")
|
||||
.desc("(Optional) Name of output the output file. If not present, no file will be written.")
|
||||
.build();
|
||||
matchCDR3options.addOption(graphFilename)
|
||||
.addOption(minOccupancyOverlap)
|
||||
.addOption(maxOccupancyOverlap)
|
||||
.addOption(minOverlapPercent)
|
||||
.addOption(maxOccupancyDifference)
|
||||
.addOption(outputFile);
|
||||
|
||||
//options for output to System.out
|
||||
Option printAlphaCount = Option.builder().longOpt("print-alphas")
|
||||
.desc("(Optional) Print the number of distinct alpha sequences to stdout.").build();
|
||||
Option printBetaCount = Option.builder().longOpt("print-betas")
|
||||
.desc("(Optional) Print the number of distinct beta sequences to stdout.").build();
|
||||
Option printTime = Option.builder().longOpt("print-time")
|
||||
.desc("(Optional) Print the total simulation time to stdout.").build();
|
||||
Option printErrorRate = Option.builder().longOpt("print-error")
|
||||
.desc("(Optional) Print the pairing error rate to stdout").build();
|
||||
Option printAttempt = Option.builder().longOpt("print-attempt")
|
||||
.desc("(Optional) Print the pairing attempt rate to stdout").build();
|
||||
Option printCorrect = Option.builder().longOpt("print-correct")
|
||||
.desc("(Optional) Print the number of correct pairs to stdout").build();
|
||||
Option printIncorrect = Option.builder().longOpt("print-incorrect")
|
||||
.desc("(Optional) Print the number of incorrect pairs to stdout").build();
|
||||
Option printMetadata = Option.builder().longOpt("print-metadata")
|
||||
.desc("(Optional) Print a full summary of the matching results to stdout.").build();
|
||||
|
||||
matchCDR3options
|
||||
.addOption(printErrorRate)
|
||||
.addOption(printAttempt)
|
||||
.addOption(printCorrect)
|
||||
.addOption(printIncorrect)
|
||||
.addOption(printMetadata)
|
||||
.addOption(printAlphaCount)
|
||||
.addOption(printBetaCount)
|
||||
.addOption(printTime);
|
||||
return matchCDR3options;
|
||||
}
|
||||
|
||||
|
||||
@@ -4,7 +4,7 @@ public class GraphDataObjectReader {
|
||||
|
||||
private GraphWithMapData data;
|
||||
private String filename;
|
||||
private boolean verbose = true;
|
||||
|
||||
|
||||
public GraphDataObjectReader(String filename, boolean verbose) throws IOException {
|
||||
if(!filename.matches(".*\\.ser")){
|
||||
@@ -15,10 +15,13 @@ public class GraphDataObjectReader {
|
||||
BufferedInputStream fileIn = new BufferedInputStream(new FileInputStream(filename));
|
||||
ObjectInputStream in = new ObjectInputStream(fileIn))
|
||||
{
|
||||
System.out.println("Reading graph data from file. This may take some time");
|
||||
System.out.println("File I/O time is not included in results");
|
||||
if (verbose) {
|
||||
System.out.println("Reading graph data from file. This may take some time");
|
||||
System.out.println("File I/O time is not included in results");
|
||||
}
|
||||
data = (GraphWithMapData) in.readObject();
|
||||
} catch (FileNotFoundException | ClassNotFoundException ex) {
|
||||
System.out.println("Graph/data file " + filename + " not found.");
|
||||
ex.printStackTrace();
|
||||
}
|
||||
}
|
||||
|
||||
@@ -570,6 +570,8 @@ public class InteractiveInterface {
|
||||
}
|
||||
|
||||
private static void acknowledge(){
|
||||
System.out.println("BiGpairSEQ_Sim " + BiGpairSEQ.getVersion());
|
||||
System.out.println();
|
||||
System.out.println("This program simulates BiGpairSEQ, a graph theory based adaptation");
|
||||
System.out.println("of the pairSEQ algorithm for pairing T cell receptor sequences.");
|
||||
System.out.println();
|
||||
|
||||
@@ -46,9 +46,9 @@ public class Simulator implements GraphModificationFunctions {
|
||||
if(verbose){System.out.println("All betas count: " + betaCount);}
|
||||
if(verbose){System.out.println("Well maps made");}
|
||||
|
||||
if(verbose){System.out.println("Removing sequences present in all wells.");}
|
||||
filterByOccupancyThresholds(allAlphas, 1, numWells - 1);
|
||||
filterByOccupancyThresholds(allBetas, 1, numWells - 1);
|
||||
if(verbose){System.out.println("Removing singleton sequences and sequences present in all wells.");}
|
||||
filterByOccupancyThresholds(allAlphas, 2, numWells - 1);
|
||||
filterByOccupancyThresholds(allBetas, 2, numWells - 1);
|
||||
if(verbose){System.out.println("Sequences removed");}
|
||||
int pairableAlphaCount = allAlphas.size();
|
||||
if(verbose){System.out.println("Remaining alphas count: " + pairableAlphaCount);}
|
||||
@@ -157,7 +157,6 @@ public class Simulator implements GraphModificationFunctions {
|
||||
"removed");}
|
||||
|
||||
//Find Maximum Weighted Matching
|
||||
//using jheaps library class PairingHeap for improved efficiency
|
||||
if(verbose){System.out.println("Finding maximum weighted matching");}
|
||||
MaximumWeightBipartiteMatching maxWeightMatching;
|
||||
//Use correct heap type for priority queue
|
||||
@@ -245,11 +244,11 @@ public class Simulator implements GraphModificationFunctions {
|
||||
//rate of pairing error
|
||||
double pairingErrorRate = (double) falseCount / (trueCount + falseCount);
|
||||
BigDecimal pairingErrorRateTrunc;
|
||||
if(pairingErrorRate == NaN || pairingErrorRate == POSITIVE_INFINITY || pairingErrorRate == NEGATIVE_INFINITY) {
|
||||
pairingErrorRateTrunc = new BigDecimal(-1, mc);
|
||||
if(Double.isFinite(pairingErrorRate)) {
|
||||
pairingErrorRateTrunc = new BigDecimal(pairingErrorRate, mc);
|
||||
}
|
||||
else{
|
||||
pairingErrorRateTrunc = new BigDecimal(pairingErrorRate, mc);
|
||||
pairingErrorRateTrunc = new BigDecimal(-1, mc);
|
||||
}
|
||||
//get list of well populations
|
||||
Integer[] wellPopulations = data.getWellPopulations();
|
||||
|
||||
Reference in New Issue
Block a user