Search Results for "course"

PySCeS is the Python Simulator of Cellular Systems. For a network of coupled reactions it does a stoichiometric matrix analysis, calculates the time course and steady state, and does a complete control analysis.

This is a collection of various programs developed in the course of a genomics project, involving the Pseudomonas strain NCIMB10586 These include * identifying and correcting errors in an (eg) pacbio genome sequence using illumina reads * prokaryotic sequence/genome annotation * RNAseq analysis - normalisation and collation of multiple samples as a group * RNAseq visualisation All scripts are provided on a 'best efforts' basis, however due to various system changes I do not guarantee that all files are the version used in the analysis. ...

Python course (in Spanish) for Proteomics analysis using basically Jupyter NoteBooks. For more information, you can have a look at the readme.md file in the source code tree: https://sourceforge.net/p/lp-csic-uab/p4p/code/ci/default/tree/readme.md

Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included.

KYM is a MATLAB / GNU Octave set of functions that implements a wavelet-based automated procedure of quantification and characterization of biological signals. In particular it has been thought for the analysis of the oscillatory component of cytosolic calcium concentration time course.

...Not meant as a competitive phylogenetic inference program, Javamony is an opportunity for me to acquire the Java language while learning to address and solve fundamental problems in phylogenetics. Therefore, for my own educational benefit, all code is original. Of course, there are probably a good deal of mistakes as well. I distribute Javamony, as I did Pysimony, hoping that it will be of educational value to someone else or at least vaguely amusing. Upcoming features will be: - Support for Amino Acid sequences - Support for additional file formats (e.g. Nexus) - Multithreading - Additional scoring methods (e.g. maximum likelihood)

Predicting Global Changes in Transcript Stability Using Time Course Microarray Data