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...By default, the class "GeneticCode" generates alternative genetic codes, with the reqirement of block structure, and, optionally, with the assumption of stereochemical or biosynthetic models (to impose the assumption of the adaptive model, simply filter the codes using the error_cost() function). See Appendix in Makukov & shCherbak (2017) for the description of the algorithm. The code requires Qt 5. To compile the provided example, run 'qmake' to produce the Makefile, and then run 'make' to compile the executable file. License: Public Domain.

...Files include: fast_count_multi - reports all counts and RPKM, multithreading support fast_count_deseq - reports gene counts in deseq compatible format, multithreading support fast_count - reports all counts with no multithreading support. usage ./fast_count_multi num_threads gtf_file bam_file(s) > output Requires bamtools API library at run time, and c++0x for compile. git clone https://github.com/pezmaster31/bamtools cd bamtools mkdir build cd build cmake .. make export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:path to/lib g++ -I bamtools/include/ -L bamtools/lib/ -o fast_count_multi fast_count_multi.cpp -lz -lbamtools -fpermissive -pthread -std=c++0x

...Program can handle both annotated and unannotated VCF files, however output file is not compatible with GATK's snpEff, so you should annotate prior to using denovo_hit. Usage: ./denovo_hit <VCF file> <PED file> Output: ./potential_denovo.txt To compile: g++ -std=c++11 denovo_hit.cpp -o denovo_hit Please see files for example VCF file, and pedigree file. Format VCF file (tab delimited): CHROM, POS, ID, REF, ALT, QUAL, FILTER, INFO, FORMAT, SAMPLE_ID, ... Format pedigree file (tab delimited): SAMPLE_ID_CHILD, SAMPLE_ID_PARENT1, SAMPLE_ID_PARENT2 Output file format (tab delimited): CHROM, POS, ID, REF, ALT, QUAL, FILTER, INFO, PEDIGREE, CALL_STATS, COUNTS ...

Using the CUDA API this project modifies the AutoDock software to run in parallel on NVIDIA GPUs. Users will be able to download and compile the code and use AutoDock on CUDA capable Graphics Cards. Autodock is located at http://autodock.scripps.edu/