360° frame-sequence spinner (object + aerial orbit). Vanilla TypeScript, zero deps.
Generate errors that contain a code frame that point to source locations.
Enable support for case insensitive attribute matching in selectors
An efficient queue capable of managing thousands of concurrent animations.
A frame-synced render loop for JavaScript
Rope-based persistent sequence type
Generic extension manager for WebSocket connections
JS Object representation of a stack frame
React component to wrap your application or component in an iFrame for encapsulation purposes
A Jimp-compatible library for working with GIFs
A tiny utility to create code frames
Returns an array containing the initial elements which both input arrays have in common
A parser for ANSI escape sequences
Generate errors that contain a code frame that point to source locations.
Contains parsers and serializers for ASN.1 (currently BER only)
Easy to use efficient .GIF parsing in javascript
TypeScript definitions for @babel/code-frame
## Installation
Polyfill requestAnimationFrame and cancelAnimationFrame
Frame ticker with easy events for animation or games in JavaScript or TypeScript
Log by overwriting the previous output in the terminal. Useful for rendering progress bars, animations, etc.
Apply a sequence of filter functions to an object
Middleware to set X-Frame-Options headers
Create parsers using parser combinators with helpful error messages
Turns frame sequence strings into lists of frame numbers.
Turns frame sequence strings into lists of frame numbers.
ORF Finder is a library that with a sequence of nucletotides it finds the all the possible ORFs in the sequence. It will look for a sequence that starts with a start codon and ends with a stop codon. It will default to the beggining of the sequence if it cannot find an ORF long enought with the start codons. It will also use the end of the sequence if no stop codons are present in the sequence reading frame.
FULL-LENGTHERNEXT is a tool adapted to NGS technologies, able to work in parallel and in a distributed way to minimise computing time. It is able to classify unigenes to full-length, 5’-end, 3’-end and internal, suggesting which unknown genes are coding or not. It will be also shown that FULL-LENGTHERNEXT fixes frame shifts, one of the main mistake found in wrong entries of full-length sequences databases, and it is a fast tool to compare different transcriptome assemblies.
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