Search Results for "factor"

Eukaryotic gene expression is controlled through molecular logic circuits that combine regulatory signals of many different factors. Complexation of transcription factors and other regulatory proteins is a prevailing and highly conserved mechanism of signal integration within critical regulatory pathways and enable to infer controlled genes as well as the exerted regulatory mechanism. We developed DACO (domain-aware cohesiveness optimization), a novel algorithm that combines...

Processing of smallRNA-Seq data to gather biologically relevant information requires application of multiple statistical and bioinformatics tools from different sources, each focusing on a specific step of the analysis pipeline. The analytical workflow can be challenging for the continuous interventions by the operator, a critical factor when large numbers of datasets need to be analyzed at once. To allow a flexible and comprehensive analysis of smallRNA-Seq data we designed a novel modular pipeline, called iMir, integrating multiple open source modules and resource in an automated workflow, devising different statistical approaches to analyze data rigorously. iMir comprises also a Graphical User Interface (GUI), so that the pipeline is particularly suited for biologist and early stage bioinformaticians and produces both graphics and text outputs.

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

Transcription Factor Analysis using SELEX with High-Throughput Sequencing (TFAST) is software developed by the Mobley lab at the University of Michigan designed to assist with transcription factor binding site discovery using data generated from aptamer-free SELEX-seq (afSELEX-seq).

GEM is a computational method for identification of transcription factor modulators, using expression datasets. The method tests if the correlation between factor and target gene depends on the expression of the modulator.