WeaveAlign v1.2.1 – Multiple Sequence analysis in the presence Alignment uncertainty, using directed Acyclic Graphs

WeaveAlign v1.2.1

:: DESCRIPTION

WeaveAlign is a framework for combining a collection of multiple sequence alignments into a directed acyclic graph (DAG) structure, so as to permit efficient inference on very large sets of possible alignments.

::DEVELOPER

WeaveAlign team

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux
Java

WeaveAlign

:: MORE INFORMATION

Citation

Efficient representation of uncertainty in multiple sequence alignments using directed acyclic graphs.
Herman JL, Novák Á, Lyngsø R, Szabó A, Miklós I, Hein J.
BMC Bioinformatics. 2015 Apr 1;16(1):108.

TO-DAG – Timed Oncogenetic Directed Acyclic Graphs

TO-DAG

:: DESCRIPTION

TO-DAG infers the graph of the causal dependencies and the waiting times among mutational events from cross-sectional data of genetic alterations in independent human tumour samples.

::DEVELOPER

Demichelis Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

Linux /Windows / MacOSX
R

:: DOWNLOAD

TO-DAG

:: MORE INFORMATION

Citation:

Front Genet. 2015 Oct 13;6:309. doi: 10.3389/fgene.2015.00309. eCollection 2015.
Defining order and timing of mutations during cancer progression: the TO-DAG probabilistic graphical model.
Lecca P, Casiraghi N, Demichelis F.