Search Results for "dev c++ example"
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Showing 10 open source projects for "dev c++ example"
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Cloud-based help desk software with ServoDeskWhat if You Could Automate 90% of Your Repetitive Tasks in Under 30 Days? At ServoDesk, we help businesses like yours automate operations with AI, allowing you to cut service times in half and increase productivity by 25% - without hiring more staff.
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AstroBioTools
Adaptive analysis of amino acid alphabets
...Extraordinarily adaptive properties of the genetically encoded amino acids. Scientific reports, 5, 9414. Ilardo, M., Bose, R., Meringer, M., Rasulev, B., Grefenstette, N., Stephenson, J., Freeland, S., Gillams, R. J. , Butch C. J., & Cleaves, H. J. (2019). Adaptive properties of the genetically encoded amino acid alphabet are inherited from its subsets. Scientific reports, 9(1), 1-9. Example program calls: ./CliAdaptiveAnalysis -i data/Table1913Aa4Prop.txt -n 100000 ./CliAdaptiveAnalysis -i data/Table1913Aa4Prop.txt -n 100000000 -v -
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GenForm
Generation of molecular formulas by high-resolution MS and MS/MS data
This is an open source implementation of molecular formula calculation by high resolution MS and MS/MS data as described in M. Meringer, S. Reinker, J. Zhang, A. Muller: MS/MS Data Improves Automated Determination of Molecular Formulas by Mass Spectrometry. MATCH Commun. Math. Comput. Chem. 65, 259-290, 2011. The software user manual is available here: https://www.researchgate.net/publication/307964728_MOLGEN-MSMS_Software_User_Manual Example MS and MS/MS data files for GenForm can... -
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gsasnp2
PubMed ID: 29562348 / DOI: 10.1093/nar/gky175
* GSA-SNP2 is a successor of GSA-SNP (Nam et al. 2010, NAR web server issue). GSA-SNP2 accepts human GWAS summary data (rs numbers, p-values) or gene-wise p-values and outputs pathway genesets ‘enriched’ with genes associated with the given phenotype. It also provides both local and global protein interaction networks in the associated pathways. * Article: SYoon, HCTNguyen, YJYoo, JKim, BBaik, SKim, JKim, SKim, DNam, "Efficient pathway enrichment and network analysis of GWAS summary data... -
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GenCodeGenerator
C++ class to generate biologically plausible genetic codes
The "GeneticCode" C++ class is designed to generate versions of the genetic code subject to the requirements of the three major models of the genetic code origin and evolution (about these models see, e.g., Koonin & Novozhilov, 2009, IUBMB Life). This class was written specifically to perform statistical test for the paper Makukov & shCherbak (2017), but it might be used for a wider class of studies related to the genetic code. -
Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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ShuffleFastaSeq
This application can be used to shuffle sequences in FASTA format.
...The number of shufflings (n) for each sequence can be set; by default n is 100. The output file contains n shuffled copies in FASTA format for each input sequence. For example (n=3): Input file: >a ACGGT >b GCCCATTC Output file: >a TCGAG >a CGAGT >a TGCGA >b CACTCCGT >b CCCGTATC >b CCTTCAGC -
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denovo_hit
Outputs potential denovo variants from VCF given pedigree information.
...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 ... -
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MSL
http://dx.doi.org/10.1002/jcc.22968
MSL is a C++ library that enables the computational study of macromolecules. The MSL library is not a program (although some applications are distributed) but a tool for scientist to code their own molecular modeling methods. Philosophy The main goal is to create a set of tools that enable the computational study of macromolecules with relative ease at all levels, from simple operations (for example, load a PDB and measure a distance or edit a dihedral) to complex applications (protein modeling or design). ... -
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We present an improved ball and stick representation called HyperBalls. This type of depiction is particularly useful to represent dynamic phenomena, such as the evolution of non covalent bonds and takes advantage of GPU capabilities. HyperBalls are now fully integrated into the UnityMol software and are actively developed in that context. You will find the most up-to-date versions of the shaders in the http://unitymol.sourceforge.net project.
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The DNA Sequence Read Toolkit is a set of programs to convert data from DNA sequencing instruments into formats suitable for archiving, viewing or for onward processing (for example alignment or assembly).
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The most advanced C and C++ source code analyzerTrustInSoft Analyzer is a C and C++ source code analyzer powered by formal methods, mathematical & logical reasonings that allow for exhaustive analysis of source code. This analysis can be run without false positives or false negatives, so that every real bug in the code is found. Developers receive several benefits: a user-friendly graphical interface that directs developers to the root cause of bugs, and instant utility to expand the coverage of their existing tests. Unlike traditional source code analysis tools, TrustInSoft’s solution is not only the most comprehensive approach on the market but is also progressive, instantly deployable by developers, even if they lack experience with formal methods, from exhaustive analysis up to a functional proof that the software developed meets specifications.
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ANT is a lightweight implementation in C of a kind of artificial neural net called Multilayer Perceptron, which uses the backpropagation algorithm as learning method. The package includes an introductory example to start using artificial neural nets.
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