Search Results for "factor"

...The software enables: creation of 1D scattering profiles from 2D detector images, standard data operations such as averaging and subtraction, analysis of radius of gyration (Rg) and molecular weight, and advanced analysis using GNOM and DAMMIF as well as electron density reconstructions using DENSS. It also allows easy processing of inline SEC-SAXS data and data deconvolution using the evolving factor analysis (EFA) or the regularized alternating least squares (REGALS) methods. Active source code is now maintained on github: https://github.com/jbhopkins/bioxtasraw To install: Check the instructions available at: http://bioxtas-raw.readthedocs.io/en/latest/install.html and in the Files tab. User guides: RAW guides are available at: http://bioxtas-raw.readthedocs.io/ and in the Files tab. ...

The only open source counter to count any items the simplest and easiest way with the keyboard, or the mouse specifically on images. After associating a key to each item, or a predefined graphical symbol for images, pressing the key or clicking on the image increments its associated counter, and displays (for the images) the symbol at the mouse's pointer location. Such a project is so simple a child could use it!

Epidaurus is a collection of epigenetic datasets including transcription factor ChIP-seq, histone ChIP-seq, DNase-seq, FAIRE-seq, DNA methylation, etc. It also includes commonly used genome features (GC content, conservation) and RNA-seq. A user friendly interface has been developed to interrogate and visuzlize these datasets.

Multiple Sequence Alignment for Transcription Factor Binding Sites using Di nucleotides dependencies and relying on Free Interaction energies between neighbouring DNA bases to stabilise substitution energy of the alignment. http://www.ncbi.nlm.nih.gov/pubmed/23990411

This R package can be used to identify TRMs using experimental evidence from a single ChIP-seq experiment. It combines computational predicted transcription factor (TF) binding sites, gene expression and protein-protein interaction (PPI) data and use it to predict TRMs.

A tool to calculate distribution of transcription factor pairs across a genome.