MiticCreature's starred repositories
Jupiter-Bioinformatics-V2-normal
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.
Bioinformatics-Algorithms-in-Java-Script
These Bioinformatics HTML5/JS files accompany the book entitled: Algorithms in Bioinformatics: Theory and Implementation, and they are compatible with all internet browsers. These algorithms include more than 120 open-source implementations.
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).
Presentations
This section contains all the original presentations from the supplementary materials related to the book entitled: Algorithms in Bioinformatics: Theory and Implementation. The presentations contain original content related to biology, bioinformatics, genetics, genomics, physics, as well as algorithms or software programming implementations.
Bioinformatics-Algorithms-in-Java-Script
These Bioinformatics HTML5/JS files accompany the book entitled: Algorithms in Bioinformatics: Theory and Implementation, and they are compatible with all internet browsers. These algorithms include more than 120 open-source implementations.
Bioinformatics-HTML5-Implementations
These All-in-one Bioinformatics HTML5/JS files accompany the book entitled: Algorithms in Bioinformatics: Theory and Implementation, and they are compatible with all internet browsers.
Bioinformatics-Algorithms-in-JavaScript
These Bioinformatics HTML5/JS files accompany the book entitled: Algorithms in Bioinformatics: Theory and Implementation, and they are compatible with all internet browsers. These algorithms include more than 120 open-source implementations that describe many known or novel algorithms in Bioinformatics.
Bioinformatics-Algorithms-in-JavaScript
These Bioinformatics HTML5/JS files accompany the book entitled: Algorithms in Bioinformatics: Theory and Implementation, and they are compatible with all internet browsers. These algorithms include more than 120 open-source implementations that describe many known or novel algorithms in Bioinformatics.
PHP-Markov-Chains
Here are all the Markov Chain algorithms in PHP that are associated with the book entitled Markov chains: from theory to implementation and experimentation.
Markov-Chains-Java-Script
Here are all the Markov Chain algorithms in java script that are associated with the book entitled Markov chains: from theory to implementation and experimentation.
Markov-Chain-Generator
A Markov Chain Generator (MCG) is a prediction machine that uses a transition matrix to generate sequences that are similar to the training sequence. Thus, the output of a MCG mimics the training sequence that led to the values from the transition matrix and the process itself represents a prediction.
RNA-complementarity
This JavaScript implementation detects the areas where two RNA sequences are complementary to each other. All symbols from UTF-8 are accepted by this algorithm.
DNA-complementarity-alignment-in-JS
This JavaScript implementation detects the areas where two DNA sequences are complementary to each other. All symbols from UTF-8 are accepted by this algorithm.
Mix-two-signals-in-Python
This is an implementation designed in Python. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.
Mix-two-signals-in-CSharp
This is an implementation designed in C#. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.
Mix-two-signals-in-Javascript
This is an implementation designed in Javascript. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.
Mix-two-signals-in-Java
This is an implementation designed in Java. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.
Mix-two-signals-in-Ruby
This is an implementation designed in Ruby. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.
Mix-two-signals-in-Perl
This is an implementation designed in Perl. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.
Mix-two-signals-in-PHP
This is an implementation designed in PHP. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.
Mix-two-signals-in-VB
This is an implementation designed in VB6/VBA. This implementation is able to mix two signals/vectors (A and B) in arbitrary proportions. This source code uses a novel mathematical model published in the journal Chaos. The model is called Spectral Forecast.
Spectral-Forecast-in-EXCEL
A more complex example that uses the spectral forecast equation is related to matrices. A question that can be asked this time would be: given two matrices A and B, what would a third matrix (M) look like if it must resemble both A and B in a certain proportion?
Jupiter-Bioinformatics-V1
Jupiter Bioinformatics (V1) - To find similarities between two words, a manual comparison is required.
Jupiter-Bioinformatics-V1
Jupiter Bioinformatics (V1) - To find similarities between two words, a manual comparison is required. For words between 4 and 8 letters, such a task can be performed by any of us without the use of a computer. However, what if the objects of comparison are entire phrases/sequences/files?
Jupiter-Bioinformatics-V2-normal
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
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-experiments
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.
Simple-JS-implementation-of-Objective-Digital-Stains
Simple JS implementation of Objective Digital Stain (ODS) produces ODS images from DNA sequences. On ODSs, the information content (IC) is represented vertically on the y-axis and the frequency of different letters is represented horizontally on the x-axis.
Self-sequence-alignment
Self-sequence alignment represents a novel mathematical model for measuring the information content in biological sequences, such as DNA, RNA, or proteins. Nevertheless, the use of this model is not limited to biological sequences. Thus, any symbol inside a sequence can be considered.
Objective-Digital-Stains-in-PHP
This code generates Objective Digital Stains (ODSs) and it is implemented in PHP. On ODSs, the information content (IC) is represented vertically on the y-axis and the frequency of different letters is represented horizontally on the x-axis.