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sequence

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Information-Content-vs-Information-Entropy

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.

  • Updated Mar 21, 2022
  • HTML
Discrete-Probability-Detector

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.

  • Updated Mar 21, 2022
  • HTML
Sequence-Logos-based-on-maximum-values

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.

  • Updated Mar 21, 2022
  • HTML

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

  • Updated Feb 19, 2023
  • HTML

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