Showing 5 open source projects for "block"

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  • 1
    MGF2MGF CH

    MGF2MGF CH

    Convert mgf mass values to their nearest elemental formula

    MGF2MGF CH processes mgf files (mascot generic format). It: converts masses to their nearest elemental formula mass (provided that you supply an empirical formula), can normalise intensities to the base peak of a block of ions, produces a new file with the prefix of your choice. You: specify the input line that contains the empirical formula of the parent ion, specify the key that identifies a formula and then the formula) separated by one space character, either drag and drop mgf files onto the window, or pass filenames though a command line argument. ...
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  • 2
    SiBELia

    SiBELia

    Synteny Block ExpLoration tool

    Sibelia: A comparative genomic tool: It assists biologists in analysing the genomic variations that correlate with pathogens, or the genomic changes that help microorganisms adapt in different environments. Sibelia will also be helpful for the evolutionary and genome rearrangement studies for multiple strains of microorganisms.
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  • 3

    GenCodeGenerator

    C++ class to generate biologically plausible genetic codes

    ...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. 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. ...
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  • 4

    hrefinder

    Detection of homologous recombination events from SNP data

    ...Based on SNP alleles calls and locations, it breaks the genomes into locally colinear blocks, and looks for cases where SNPs do not agree with the vertical pattern of inheritance in a phylogeny. It applies a dynamic programming algorithm to model whether changes within a block are likely a result of mutations, sequencing errors, or HRE. We use information from the nearby SNPs, so that if 1-2 alleles in a series of SNPs differs from the ancestral allele, it may be better explained as a mutation or sequencing error. But if a series of SNP alleles differ from the ancestral pattern, then it may be more likely that an HRE has occurred, particularly if the allele pattern matches that from another part of the tree better than that of the ancestral node.
    Downloads: 0 This Week
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  • 5

    Hierarchical Stochastic Block Model

    just a bunch of PhD projects

    Development codes for hierarchical stochastic block models
    Downloads: 0 This Week
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