Motif analysis using the Misha package

To reproduce analysis and methods presented in Bell and Paegle (2021)

Motifs search and discovery in Pyrococcus Furiosus genome using MEME software (Physical Methods of Biology exam).

Introduced here is a method to measuring social coordination and the signaling value of objects. Accompanies the paper Bell (2020), and includes an analysis of triad classification tasks in the Kingdom of Tonga and among University of Utah students.

GIMSAN: motif-finder with biologically realistic and reliable statistical significance analysis

Bioinformatics pipeline for binding sites prediction

A Motif Search Algorithm based on a string matching principles

Loop detector on triplet formatted data

A program to compute the optimal sequence alignment of two DNA strings

invert to subvert

Web-site for HOCOMOCO collection of transcription factor binding sites motifs.

The study presented here takes into consideration a dataset from this article regarding GARDIA Encystation. Article here: https://www.mdpi.com/2073-4425/12/12/1932

Network Science toolbox focused on generalizing centrality and community structure

Repositório para apresentação de código desenvolvido pelo grupo 3 para a UC Algoritmos para Análise Sequências Biológicas do Mestrado em Bioinformática, ano lectivo 23-24.

DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.

An object-oriented Python library for simulating biological sequences

Sequence Logo - block style with axes (native Java Script) 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.

Threshold and p-value computations for Position Weight Matrices

Sequence Logo - relative style with axes 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 once it is saved as a html file.

Benchmarks collection for GRECO TFBS Benchmarking Initiative