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The estimation of genetic linkage maps is a key component in plant and animal research, providing both an indication of the genetic structure of an organism and a mechanism for identifying candidate genes associated with traits of interest. Because of this importance, several computational solutions to genetic map estimation exist, mostly implemented as stand-alone software packages. However, the estimation process is often largely hidden from the user. Consequently, problems such as a program crashing may occur that leave a user baffled. THREaD Mapper Studio (http://cbr.jic.ac.uk/threadmapper) is a new web site that implements a novel, visual and interactive method for the estimation of genetic linkage maps from DNA markers. The rationale behind the web site is to make the estimation process as transparent and robust as possible, while also allowing users to use their expert knowledge during analysis. Indeed, the 3D visual nature of the tool allows users to spot features in a data set, such as outlying markers and potential structural rearrangements that could cause problems with the estimation procedure and to account for them in their analysis. Furthermore, THREaD Mapper Studio facilitates the visual comparison of genetic map solutions from third party software, aiding users in developing robust solutions for their data sets.

Genetic maps are an important component within the plant biologist's toolkit, underpinning crop plant improvement programs. The estimation of plant genetic maps is a conceptually simple yet computationally complex problem, growing ever more so with the development of inexpensive, high-throughput DNA markers. The challenge for bioinformaticians is to develop analytical methods and accompanying software tools that can cope with datasets of differing sizes, from tens to thousands of markers, that can incorporate the expert knowledge that plant biologists typically use when developing their maps, and that facilitate user-friendly approaches to achieving these goals. Here, we aim to give a flavour of computational approaches for genetic map estimation, discussing briefly many of the key concepts involved, and describing a selection of software tools that employ them. This review is intended both for plant geneticists as an introduction to software tools with which to estimate genetic maps, and for bioinformaticians as an introduction to the underlying computational approaches.

A web-based tool, the Interspecies Transcription Factor Function Finder (IT3F), has been developed to display both evolutionary gene relationships and expression data for plant transcription factors, focussing primarily on the R2R3MYB gene subfamily for proof of concept. The graphical display of information allows users to make direct comparisons between structurally related genes and to identify those genes that are potentially orthologous, thereby assisting with their understanding of gene function. A key feature of the website is the provision of an interrogative phylogenetic tree that allows submission of new sequences corresponding to a transcription factor family or subfamily and maps their relative positions to the products of other genes on an 'existing' tree containing proteins encoded by Arabidopsis and rice genes, along with key proteins encoded by genes from other species that have been characterised functionally. In addition, a feature to select clusters of related sequences has been developed so that more detailed phylogenetic analysis can be performed to highlight potential orthologous and paralogous genes within related clusters. Arabidopsis genes that reside on duplicated regions of the genome are indicated on the tree, providing further information for interpreting gene function. An additional feature of the website allows a selected number of key Arabidopsis and rice microarray experiments to be visualised alongside the tree as a tabulated heat map of expression intensity values. Through this display, it is possible to observe relative expression levels across a whole gene family and the extent to which the expression of closely related genes within subgroups has altered since their ancestral divergence. The website is available at http://jicbio.nbi.ac.uk/IT3F/.

Unlabelled: MPP is a Java application, encompassing both new and established algorithms, for the analysis of gene and marker content datasets arising from high-throughput microarray techniques. MPP analyses flat file output from microarray experiments to determine the probability of the presence or absence of genes or markers within a genome. MPP can construct gene or marker content datasets for a number of genomes and can use the data to estimate an evolutionary tree or network. Results from gene content analyses may be validated by comparing them to known gene contents. MPP was initially developed to analyse data derived from comparative genome hybridization (CGH) microarray experiments in fungi and bacteria. It has recently been adapted to analyse retrotransposon-based insertion polymorphism (RBIP) marker scores derived from tagged microarray marker (TAM) experiments in pea. New analytical procedures may be added easily to MPP as plugins in order to increase the scope of the software., Availability: MPP source code, executables and online help are available at http://cbr.jic.ac.uk/dicks/software/

Motivation: Recombination can be a prevailing drive in shaping genome evolution. RAT (Recombination Analysis Tool) is a Java-based tool for investigating recombination events in any number of aligned sequences (protein or DNA) of any length (short viral sequences to full genomes). It is an uncomplicated and intuitive application and allows the user to view only the regions of sequence alignments they are interested in., Results: RAT was applied to viral sequences. Its utility was demonstrated through the detection of a known recombinant of HIV and a detailed analysis of Noroviruses, the most common cause of viral gastroenteritis in humans., Availability: RAT, along with a user's guide, is freely available from http://jic-bioinfo.bbsrc.ac.uk/bioinformatics-research/staff/graham_etherington/RAT.htm.

Unlabelled: newicktree is a PSTricks-based LATEX package which enables phylogenetic trees described in the Newick format to be drawn directly into LATEX documents. mswordtree is a macro for producing phylogenetic trees using the drawing elements available in Microsoft Word., Availability: Both programs are available free from the John Innes Centre's Bioinformatics Research Group website at http://jic-bioinfo.bbsrc.ac.uk/bioinformatics-research/software/index.html., Supplementary Information: A full user-guide for newicktree and installation and usage instructions for mswordtree and available at http://jic-bioinfo.bbsrc.ac.uk/bioinformatics-research/software/index.html