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RSKImageCropper - An image cropper / photo cropper for iOS like in the Contacts app with support for landscape orientation
An image cropper for iOS like in the Contacts app with support for landscape orientation. RSKImageCropper requires iOS 6.0 or later.
crop cropping trimming cropper editor image photo contacts-app editGuitar - A Cross-Platform String and Regular Expression Library written in Swift.
This library seeks to add common string manipulation functions, including common regular expression capabilities, that are needed in both mobile and server-side development, but are missing in Swift's Standard Library. The full documentation can be found at http://www.sabintsev.com/Guitar/.
string-manipulation cross-platform ios tvos watchos swift-server cocoapods carthage swift-package-manager regex regular-expression padding trimming latinizationfastp - An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting...)
A tool designed to provide fast all-in-one preprocessing for FastQ files. This tool is developed in C++ with multithreading supported to afford high performance. By default, the HTML report is saved to fastp.html (can be specified with -h option), and the JSON report is saved to fastp.json (can be specified with -j option).
fastq qc preprocessing filtering adapter overlap quality trimming splitting quality-control filter ngs bioinformatics overlapping error umi sequencing illumina polyg duplicationatropos - An NGS read trimming tool that is specific, sensitive, and speedy. (production)
Atropos is available from pypi and can be installed using pip. There is an Atropos recipe in Bioconda.
python3 bioinformatics ngs trimmingAfterQC - Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data
The author has reimplemented this tool in C++ with multithreading support to make it much faster. The new tool is called fastp and can be found at: https://github.com/OpenGene/fastp . If you prefer a C++ based tool, please use fastp instead. AfterQC is compitable with PyPy. Using PyPy to run AfterQC is strongly suggested since it can make AfterQC 3X faster than native Python (CPython). To run with pypy, just replace python with pypy in the commands.
quality-control fastq ngs sequencing bioinformatics overlap trimming filtering error qc adapter-trimming
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