polyadq – Detection of Human Polyadenylation Signals

polyadq

:: DESCRIPTION

polyadq is a program for detection of human polyadenylation signals. To avoid training on possibly flawed data, the development of polyadq began with a de novo characterization of human mRNA 3′ processing signals. This information was used in training two quadratic discriminant functions that polyadq uses to evaluate potential polyA signals.

::DEVELOPER

Michael Zhang Computational Biology Laboratory

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Web Browser

:: DOWNLOAD

:: MORE INFORMATION

Citation

Gene. 1999 Apr 29;231(1-2):77-86.
Detection of polyadenylation signals in human DNA sequences.
Tabaska JE, Zhang MQ.

DaPars 0.9.1 – Dynamic analysis of Alternative PolyAdenylation from RNA-seq

DaPars 0.9.1

:: DESCRIPTION

DaPars is a novel bioinformatics algorithm for the de novo identification of dynamic APAs from standard RNA-seq.

::DEVELOPER

Li Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux
Python

:: DOWNLOAD

DaPars

:: MORE INFORMATION

Citation:

Xia, Z., Donehower, L.A., Wheeler, D.A., Cooper, T.A., Neilson, J.R., Wagner E.J., Li, W. 2014.
Dynamic Analyses of Alternative Polyadenylation from RNA-Seq Reveal 3′-UTR Landscape Across 7 Tumor Types.
Nature Communications, 5:5274.