
There is an increasing need to develop bioinformatic tools to organise and analyse the rapidly growing amount of nucleotide and amino acid sequence data in organisms ranging from viruses to eukaryotes. SSE provides an integrated environment where sequences can be aligned, annotated, classified and directly analysed by a number of built-in bioinformatic programs. SSE incorporates a sequence editor for the creation of sequence alignments, a process assisted by integrated CLUSTAL /MUSCLE alignment programs and automated removal of indels.
Sequences can be fully annotated and classified into groups and annotated of sequences and sequence groups and access to analytical programs that analyse diversity, recombination and RNA secondary structure. Methods for analysing sequence diversity include measures of divergence and evolutionary distances, identity plots to detect regions of nucleotide or amino acid homology, reconstruction of sequence changes, mono-, di- and higher order nucleotide compositional biases and codon usage.

Association Index calculations, GroupScans, Bootscanning and TreeOrder scans perform phylogenetic analyses that reconcile group membership with tree branching orders and provide powerful methods for examining segregation of alleles and detection of recombination events.
Phylogeny changes across alignments and scoring of branching order differences between trees using the Robinson-Fould algorithm allow effective visualisation of the sites of recombination events.

RNA secondary and tertiary structures play important roles in gene expression and RNA virus replication. For the latter, persistence of infection is additionally associated with pervasive RNA secondary structure throughout viral genomic RNA that modulates interactions with innate cell defences. SSE provides several programs to scan alignments for RNA secondary structure through folding energy thermodynamic calculations and phylogenetic methods (detection of co-variant changes, and structure conservation between divergent sequences). These analyses complement methods based on detection of sequence constraints, such as suppression of synonymous site variability.
For each program, results can be plotted in real time during analysis through an integrated graphics package, providing publication quality graphs. Results can be also directed to tabulated datafiles for import into spreadsheet or database programs for further analysis.
SSE is freely available for for individual use. SSE runs under the following operating systems: Windows NT, XP, Vista and 7 and on Macs running WINE or virtualisation environments (VMware or parallels) with Windows.
To download SSE please provide the following registration details. These details will only be used to inform you of updates to SSE.
Upon registration our server will display (and send by email) a unique URL from which SSE can be downloaded.
SSE represents a major upgrade of the previously distributed program, "Simmonics" (up to version 1.6). SSE retains all the functionality of Simmonics but has a more standard user interface and other improvments in functionality and improvements and extensions to the Research functions. For these reasons, Simmonics will no longer be supported. Previously registered users of Simmonics and the current beta version of SSE will be notified by email when the final version of SSE v. 1.0 becomes available.
Important Note: The current version is in beta and while largely functional, please re-download and re-install the program at the end of March 2012.
Copyrighted © to Peter Simmonds. SSE should not be re-distributed without permission from author.
This software is provided "as-is," without any express or implied warranty. Permission is granted to anyone to use this software for any purpose. The user is prohibited from re-distributing this software without permission from the author. The software should under no circumstance be re-distributed commercially or for profit.
Simmonds, P. (2012). SSE: A nucleotide and amino acid sequence analysis platform. BMC Research Notes (Epub Jan.20, 2012). For other references from the Simmonds group, please refer to PubMed.