RNA-Seq tutorial materials - slides, training data, code lines
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Updated
Dec 13, 2017 - HTML
RNA-Seq tutorial materials - slides, training data, code lines
Friendly Interface for Online Encyclopedia of Integer Sequences (OEIS).
Outputs a random number sequence in range [x, y]. Javascript and HTML.
Calculator that simplifies your expressions to avoid rounding errors
Jupiter Bioinformatics (V2 - normal) - local sequence alignment, is an open source application designed in native JavaScript, that is able to align two sequences/texts in order to match the regions that are similar.
Jupiter Bioinformatics (V2 - dark) - local sequence alignment, is an open source application designed in native JavaScript, that is able to align two sequences/texts in order to match the regions that are similar.
Jupiter Bioinformatics (V2) uses the local sequence alignment algorithm and a few stored experiments for further experimentation on sequence alignment. It is an open source application designed in native JavaScript, that is able to align two sequences/texts in order to match the regions that are similar.
This JavaScript implementation detects the areas where two DNA/RNA/protein sequences are similar to each other. All symbols from UTF-8 are accepted by this algorithm.
These implementations make use of an algorithm called DPD (Discrete Probability Detector), that transforms any sequence of symbols into a transition matrix. DPD is able to detect the number of states from the sequence and calculate the transition probabilities between these states. This version of DPD is made in JavaScript, VBS and VB6.
This is an application designed in HTML5/Javascript of a scanner that makes a comparison between two methods, namely between Shanon entropy (Information entropy) and self-sequence alignment (Information content). Information entropy (IE) and Information content (IC) are two methods that quantitatively measure information.
Sequence Logos based on maximum values is an alternative that provides full control over how the graphics of a Sequence Logo should look like. All the inner workings of this open source application are written in native javascript. The application is independent of the internet.
Shakes AI is a small language model developed by me, trained on around 1 million lines of text data containing Shakespearean literature. This model has the capability to generate Shakespearean sonnets, that match the rhyme and meter patterns of the original works, while also providing a unique and creative touch to the generated poems
Introduction to Business Mathematics for UiTM
Website for DRAFT specification docs for GA4GH Sequence Collections.
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