Showing 4 open source projects for "find string"

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    Nette Utility Classes

    Nette Utility Classes

    Lightweight utilities for string & array manipulation, image handling

    In package nette/utils you will find a set of useful classes for everyday use. Lightweight utilities for string & array manipulation, image handling, safe JSON encoding/decoding, validation, slug or strong password generating etc.
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  • 2
    CssSelector Component

    CssSelector Component

    Converts CSS selectors to XPath expressions

    XPath expressions are incredibly flexible, so there is almost always an XPath expression that will find the element you need. Unfortunately, they can also become very complicated, and the learning curve is steep. Even common operations (such as finding an element with a particular class) can require long and unwieldy expressions. CSS selectors are less powerful than XPath, but far easier to write, read and understand. Since they are less powerful, almost all CSS selectors can be converted to...
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  • 3
    Webmozart Assert

    Webmozart Assert

    Assertions to validate method input/output with nice error messages

    This library contains efficient assertions to test the input and output of your methods. With these assertions, you can greatly reduce the amount of coding needed to write a safe implementation. This library is heavily inspired by Benjamin Eberlei's wonderful assert package, but fixes a usability issue with error messages that can't be fixed there without breaking backwards compatibility. This package features usable error messages by default. However, you can also easily write custom error...
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  • 4
    gsasnp2

    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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