Search Results for "level set method"

EigenMS is a normalization method implemented in R (and older version in Matlab) available as a set of two functions that should be used in a sequence. Please download EigenMS.zip file (latest version). Latest version uploaded in October 2017 has a bugfix for single treatment group normalization. Rescaling has been omitted from 2015. EigenMS utilizes SVD to detect bias trends in the data and eliminates them.

AK Toolbox is a Matlab Toolbox for co-evolution analysis for protein Multiple Sequence Alignment (MSA) distributed under Simplified BSD License. The aim of AK toolbox is to provide a set of Matlab functions, which are independent of Matlab Bioinforamtics Toolbox, for coevolution anaylsis for MSA. At present, co-evolution methods available in this package are Statistical Coupling Analysis (SCA), Explicit Likelihood of Subset Covariance (ELSC), Mutual Information (MI), Observed Minus Expected Square method (OMES), McLanhlan Based Substitution Correlation (MCBASC), Direct-coupling analysis (DCA) and logR. ...

...Placnet has been written in Perl. It's been optimized to work with Illumina sequences but it also works with 454, Iontorrent or any of the actual sequence technologies. The input of placnet is a set of contigs and one or more SAM files with the mapping of the reads against the contigs. Placnet obtains a set of files, easily opened on Cytoscape software or other network tools. Please cite PLACNET as: Lanza VF, de Toro M, Garcillán-Barcia MP, Mora A, Blanco J, Coque TM, de la Cruz F: Plasmid Flux in Escherichia coli ST131 Sublineages, Analyzed by Plasmid Constellation Network (PLACNET), a New Method for Plasmid Reconstruction from Whole Genome Sequences. ...

CaspLab - Comet Assay Software Project Lab is a cross-platform image analysis software to measure level of DNA damage in SCGE (Single Cell Gel Electrophoresis) method called also comet assay method.

A set of utilities to handle individual-level genotype data files

trimAl can consider several parameters, alone or in multiple combinations, in order to select the most-reliable positions in the alignment. These include the proportion of sequences with a gap, the level of residue similarity and, if several alignments for the same set of sequences are provided, the consistency level of columns among alignments. Moreover, trimAl allows to manually select a set of columns and sequences to be removed from the alignment. trimAl implements a series of automated algorithms that trim the alignment searching for optimum thresholds based on inherent characteristics of the input alignment, to be used so that the signal-to-noise ratio after alignment trimming phase is increased. ...