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followers: 174.0 following: 10.0 repos: 97.0 gists: 0.0

Name: Paul A. Gagniuc

Type: User

Company: University Politehnica of Bucharest

Bio: This page is dedicated to my students from Faculty of Engineering in Foreign Languages at University Politehnica of Bucharest. All projects are open source.

Location: Bucharest, Romania

Bioinformatics Algorithms in JavaScript Visual Basic (VBA; VB 6.0) - Markov-Chains An Introduction to Programming Languages: Simultaneous Learning in Multiple Coding Environments


Note: all applications presented here are designed natively in their respective programming or scripting languages, without libraries or external files. Thus, the applications have no dependencies and can be used offline. There are about 100 posts uploaded here, however, below are some useful projects that I have chosen to show as a preview:

Jupiter Bioinformatics (V1) Jupiter Bioinformatics V2 (normal) Jupiter Bioinformatics V2 (dark) Jupiter Bioinformatics V2 experiments Sequence Logo (relative style) Sequence Logo (block style)

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Discrete Probability Detector (DPD) Predictions with Markov Chains Objective Digital Stains Markov Chains scanner Linear congruential generator Information content vs percentage A high discrimination motif scanner A high discrimination motif scanner (variable sensitivity) Information content vs Information entropy Sequence Logo (relative style with axes) Sequence Logo (block style with axes) Spectral Forecast model for signals Chaos & noise Spectral Forecast equation for signals Spectral Forecast equation for matrices


Waveform-mixing-with-Spectral-Forecast-in-JS Waveform-mixing-with-Spectral-Forecast-in-JS Waveform-mixing-with-Spectral-Forecast-in-JS

Waveform-mixing-with-Spectral-Forecast-in-JS Waveform-mixing-with-Spectral-Forecast-in-JS Waveform-mixing-with-Spectral-Forecast-in-JS


native - Java Script Charts native - Java Script Charts native - Java Script Charts


Diabetes prediction prototype Prototype software for Photon-pixel coupling method PI laboratory in VB6 Motif detection VB6 Visual Sequence Alignment in VB6 Markov Chains detector in VB6Dynamic Block Allocation algorithm PromKappa 3.0 Objective Digital Stains in VB6 Markov Chains Simulation framework

Markov Chains Prediction framework Spectral-Forecast-equation-VB6-app-2.0 Markov Chains The weather

Bioinformatics Algorithms in JavaScript Bioinformatics Algorithms in JavaScript PromKappa 3.0 Objective Digital Stains in VB6


RNA complementarity DNA complementarity Entropy of text


Algorithms in Visual Basic for Applications

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Binary files inside EXCEL VBA

Spectral Forecast in EXCEL


  • Paul A. Gagniuc. An Introduction to Programming Languages: Simultaneous Learning in Multiple Coding Environments. Synthesis Lectures on Computer Science. Springer International Publishing, 2023, pp. 1-280.

  • Paul A. Gagniuc. Algorithms in Bioinformatics: Theory and Implementation. John Wiley & Sons, Hoboken, NJ, USA, 2021, pp. 1-528. ISBN: 9781119697961.

  • Paul A. Gagniuc. Markov chains: from theory to implementation and experimentation. Hoboken, NJ, John Wiley & Sons, USA, 2017, pp. 1-256. ISBN: 978-1-119-38755-8.


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Gagniuc's Github Stats
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Paul A. Gagniuc's Projects

visual-basic-modules-markov-chains icon visual-basic-modules-markov-chains

These Markov Chains .BAS modules accompany the book entitled: Markov Chains: From Theory to Implementation and Experimentation, and they are compatible with Visual Basic for Applications (VBA) and Visual Basic 6.0 (VB 6.0).

visual-sequence-alignment-in-vb6 icon visual-sequence-alignment-in-vb6

This highly visual and responsive VB6 application is an implementation of the global sequence alignment algorithm. It allows the modification of the alignment parameters (match, mismatch, gap), and it shows the pairwise alignment as well as the score matrix in real time.

waveform-mixing-with-spectral-forecast-in-js icon waveform-mixing-with-spectral-forecast-in-js

Waveform mixing with Spectral Forecast in JS - is a demo application designed in Javascript, that is able to mix two signals (A and B) in arbitrary proportions. Some cases can be seen, with two different waveform signals that are combined depending on a value d, called a distance.

webcam-software-sampling icon webcam-software-sampling

This Web Cam software saves images from the camera at regular time intervals. These images are samples used by the Photon-pixel coupling method. Thus, the images are further used here: https://github.com/Gagniuc/Prototype-software-for-Photon-pixel-coupling

world-smallest-js-chart-v1.0 icon world-smallest-js-chart-v1.0

This js implementation may be the smallest source code for a useful chart to date (to my knowledge)! The World smallest chart plots only positive values, namely it takes values from zero up to an upper bound. The projects in this repository show two js charts and both use the HTML5 canvas object.

world-smallest-js-chart-v2.0 icon world-smallest-js-chart-v2.0

Chart 2.0 is represented by a function that draws on a canvas object using consecutive numeric values. Version 2.0 of this compact chart takes into account both positive and negative values from the input. Thus, chart 2.0 uses a lower bound as well as an upper bound.

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