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PubMed2006

SynView: a GBrowse-compatible approach to visualizing comparative genome data.

UNLABELLED: We present SynView, a simple and generic approach to dynamically visualize multi-species comparative genome data. It is a light-weight application based on the popular and configurable web-based GBrowse framework. It can be used with a variety of databases and provides the user with a high degree of interactivity. The tool is written in Perl and runs on top of the GBrowse framework. It is in use in the PlasmoDB (http://www.PlasmoDB.org) and the CryptoDB (http://www.CryptoDB.org) projects and can be easily integrated into other cross-species comparative genome projects. AVAILABILITY: The program and instructions are freely available at http://www.ApiDB.org/apps/SynView/ CONTACT: jkissing@uga.edu.

Algorithms↗
PubMed1995

Expression patterns of predicted genes from the C. elegans genome sequence visualized by FISH in whole organisms.

More than 10 megabases of contiguous genome sequence have been submitted to the databases by the Caenorhabditis elegans Genome Sequencing Consortium. To characterize the genes predicted from the sequence, we have developed high resolution FISH for visualization of mRNA distributions in whole animals. The high resolution and sensitivity afforded by the use of directly fluorescently labelled probes and confocal imaging permitted mRNA distributions to be recorded at the cellular and subcellular level. Expression patterns were obtained for 8 out of 10 genes in an initial test set of predicted gene sequences, indicating that FISH is an effective means of characterizing predicted genes in C. elegans.

Animals↗
PubMed2005

A genome-wide visual screen reveals a role for sphingolipids and ergosterol in cell surface delivery in yeast.

Recently synthesized proteins are sorted at the trans-Golgi network into specialized routes for exocytosis. Surprisingly little is known about the underlying molecular machinery. Here, we present a visual screen to search for proteins involved in cargo sorting and vesicle formation. We expressed a GFP-tagged plasma membrane protein in the yeast deletion library and identified mutants with altered marker localization. This screen revealed a requirement of several enzymes regulating the synthesis of sphingolipids and ergosterol in the correct and efficient delivery of the marker protein to the cell surface. Additionally, we identified mutants regulating the actin cytoskeleton (Rvs161p and Vrp1p), known membrane traffic regulators (Kes1p and Chs5p), and several unknown genes. This visual screening method can now be used for different cargo proteins to search in a genome-wide fashion for machinery involved in post-Golgi sorting.

Biological Transport↗
PubMed2006

Wild-type and central DNA flap defective HIV-1 lentiviral vector genomes: intracellular visualization at ultrastructural resolution levels.

HIV-1 and other lentiviruses have the unique ability among retroviruses to efficiently replicate in non-dividing cells as a result of the active nuclear import of their DNA genome across an interphasic nuclear membrane. Previous work has shown that a three-stranded DNA structure synthesized during HIV-1 reverse transcription, called the central DNA flap, acts as a cis-determinant of HIV-1 genome nuclear import. Concordantly, DNA Flap re-insertion in lentiviral-derived gene therapy vectors stimulates gene transfer efficiencies and complements the level of nuclear import to wild-type levels quantitatively indistinguishable from wild-type virus in all cell types and tissues examined so far. In order to define the precise nature of the replicative defect of DNA flap mutant viruses, we carried out in situ DNA hybridization experiments with electron microscopy to determine the subcellular localization of DNA flap mutant and wild-type HIV-1 genomes. We found that Flap defective DNA genomes accumulate at the cytoplasmic face of the nuclear membrane with no overlap across the nuclear membrane, whereas wild-type genomes localize throughout the nuclear compartment. These data provide an unequivocal confirmation of the role of the DNA flap in HIV-1 nuclear import and further establish that the DNA flap controls a step that immediately precedes translocation through the nuclear pore. Further, the widespread distribution of wild-type genomes within the open chromatin confirms the recent genome-wide mapping of HIV-1 cDNA integration sites and points to an as-yet poorly understood step of intranuclear transport of HIV-1 pre-integration complexes.

Active Transport, Cell Nucleus↗
PubMed2006

Visualization of genomic aberrations using Affymetrix SNP arrays.

MOTIVATION: DNA copy number aberrations are frequently found in different types of cancer. Recent developments of microarray-based approaches have broadened the knowledge on number and structure of such aberrations. High-density single nucleotide polymorphism (SNP) microarrays provide an extremely high resolution with up to 500,000 SNPs per genome. Owing to the enormous amount of data the detection of common aberrations in large datasets is a great challenge. We describe a novel open source software tool--IdeogramBrowser--which was specifically designed for use with the Affymetrix SNP arrays. It provides an interactive karyotypic visualization of multiple aberration profiles and direct links to GeneCards. Visualization of consensus regions together with gene representation allows the explorative assessment of the data. AVAILABILITY: IdeogramBrowser and its source code are freely available under a creative commons license and can be obtained from http://www.informatik.uni-ulm.de/ni/staff/HKestler/ideo/. IdeogramBrowser is a platform independent Java application.

Algorithms↗
PubMed2000

MappetShow: non-linear visualization for genome data.

The genome mapping projects now produce very dense maps with up to several thousands of markers per chromosome. Besides synteny plays a increasing role in mapping: enrichment of poor maps from the maps of close genomes (in terms of evolution) is a high-reward task. We propose a map viewer adapted to this situation: MappetShow gives a clear view of very dense maps and compares efficiently several maps. MappetShow is based on non-linear viewing and is written in Java. A map description language isolates the software from the data sources. This software was easily used on data coming from as different sources as an Object Request Broker, an Object-Oriented Database, or a flat data stream. MappetShow can be browsed at the URL http:¿www.infobiogen.fr/services/Mappet. More generally we discuss how to use the non-linear viewing concept in molecular biology data visualization.

Chromosome Mapping↗
PubMed2003

TableView: portable genomic data visualization.

UNLABELLED: TableView is a generalized scientific visualization program for exploration of various biological data, including EST, SAGE, microarray and annotation data. Written in Java, TableView is portable, is easily used together with other software including DBMSs and is versatile enough to be applied to any tabular data AVAILABILITY: TableView is freely available at: http://ccgb.umn.edu/software/java/apps/TableView/.

Computer Graphics↗
PubMed2006

AutoGRAPH: an interactive web server for automating and visualizing comparative genome maps.

UNLABELLED: AutoGRAPH is an interactive web server for automatic multi-species comparative genomics analyses based on personal datasets or pre-inserted public datasets. This program automatically identifies conserved segments (CS) and breakpoint regions, assesses the conservation of marker/gene order between organisms, constructs synteny maps for two to three species and generates high-quality, interactive displays facilitating the identification of chromosomal rearrangements. AutoGRAPH can also be used for the integration and comparison of several types of genomic resources (meiotic maps, radiation hybrid maps and genome sequences) for a single species, making AutoGRAPH a versatile tool for comparative genomics analysis. AVAILABILITY: http://genoweb.univ-rennes1.fr/tom_dog/AutoGRAPH/. SUPPLEMENTARY INFORMATION: A description of the algorithm and additional information are available at http://genoweb.univ-rennes1.fr/tom_dog/AutoGRAPH/Tutorial.php.

Algorithms↗
PubMed2003

Theatre: A software tool for detailed comparative analysis and visualization of genomic sequence.

Theatre is a web-based computing system designed for the comparative analysis of genomic sequences, especially with respect to motifs likely to be involved in the regulation of gene expression. Theatre is an interface to commonly used sequence analysis tools and biological sequence databases to determine or predict the positions of coding regions, repetitive sequences and transcription factor binding sites in families of DNA sequences. The information is displayed in a manner that can be easily understood and can reveal patterns that might not otherwise have been noticed. In addition to web-based output, Theatre can produce publication quality colour hardcopies showing predicted features in aligned genomic sequences. A case study using the p53 promoter region of four mammalian species and two fish species is described. Unlike the mammalian sequences the promoter regions in fish have not been previously predicted or characterized and we report the differences in the p53 promoter region of four mammals and that predicted for two fish species. Theatre can be accessed at http://www.hgmp.mrc.ac.uk/Registered/Webapp/theatre/.

Animals↗
PubMed2026

'PePApipe': A complete bioinformatics analysis pipeline for African Swine Fever Virus genome.

African Swine Fever Virus (ASFV) is of high concern in porcine livestock across the world due to both the high mortality rates and the trade restrictions imposed on affected regions. The viral genome is large and complex, and genomic analysis is essential for tracing its origin and evolution. Although several bioinformatics tools exist for genome assembly and analysis, no single platform integrates all necessary steps in an accessible and systematic way. In this study the authors developed 'PePApipe', a custom-built, user-friendly pipeline that enables rapid, complete, and efficient ASFV genome analysis. It is specifically designed for laboratory professionals with limited bioinformatics experience, requiring only basic command-line knowledge. Starting from raw sequencing data, PePApipe integrates thirteen software tools into one automated workflow, covering quality control and pre-processing of raw reads, de novo genome assembly and variant calling. Programmed in Python, it can be executed locally through bash scripts, or using a Slurm protocol for batch processing of multiple samples. The main outputs are the ASFV consensus genome sequence and a file listing its putative variants compared to the selected reference genome. PePApipe classifies generated files into structured folders and produces intermediate files that can be used as inputs for further or parallel analyses; users can also enable or disable specific steps in each particular case. This pipeline is adaptable and complementary to downstream steps such as viral genome annotation or genome visualization. By consolidating all stages of viral genome analysis into a single automated workflow, PePApipe reduces the likelihood of user error, and enhances reproducibility and efficiency. This user-friendly pipeline facilitates the transition from sequencing to assembly and downstream analysis of viral genomes, ensuring a fast and reliable response to molecular analysis demands. Finally, the pipeline can be easily adapted to the study of other viral species, expanding its application in infectious diseases surveillance.

African Swine Fever Virus↗
PubMed2006

Visualizing syntenic relationships among the hemiascomycetes with the Yeast Gene Order Browser.

The Yeast Gene Order Browser (YGOB) is an online tool designed to facilitate the comparative genomic visualization and appraisal of synteny within and between the genomes of seven hemiascomycete yeast species. Three of these genomes are polyploid, and hence contain intra-genomic syntenic regions, the correct assembly of which is a particular success of YGOB. Designed to accurately assemble, display and score gene order relationships, YGOB is both an interactive tool for browsing genomic data, and a software engine now being used for evolutionary analyses on a whole-genome scale. Underlying the online interface is the YGOB database, which consists of homology assignments across the species, extensively curated based on sequence similarity and novelly, an appraisal of genomic context (synteny) in multiple genomes. Currently the YGOB database incorporates genome data from Saccharomyces cerevisiae, Candida glabrata, Saccharomyces castellii, Ashbya gossypii, Kluyveromyces lactis, Kluyveromyces waltii and Saccharomyces kluyveri, but the system is scaleable to accommodate additional genomes. This paper discusses the usage and utility of version 1.0 of YGOB, which is publicly available at http://wolfe.gen.tcd.ie/ygob.

Chromosomes, Fungal↗
PubMed2003

The Z curve database: a graphic representation of genome sequences.

MOTIVATION: Genome projects for many prokaryotic and eukaryotic species have been completed and more new genome projects are being underway currently. The availability of a large number of genomic sequences for researchers creates a need to find graphic tools to study genomes in a perceivable form. The Z curve is one of such tools available for visualizing genomes. The Z curve is a unique three-dimensional curve representation for a given DNA sequence in the sense that each can be uniquely reconstructed given the other. The Z curve database for more than 1000 genomes have been established here. RESULTS: The database contains the Z curves for archaea, bacteria, eukaryota, organelles, phages, plasmids, viroids and viruses, whose genomic sequences are currently available. All the 3-dimensional Z curves and their three component curves are stored in the database. The applications of the Z curve database on comparative genomics, gene prediction, computation of G+C content with a windowless technique, prediction of replication origins and terminations of bacterial and archaeal genomes and study of local deviations from the Chargaff Parity Rule 2 etc. are presented in detail. The Z curve database reported here is a treasure trove in which biologists could find useful biological knowledge.

Animals↗
PubMed1994

On small genomes in eukaryotic organisms: molecular karyotypes of two microsporidian species (Protozoa) parasites of vertebrates.

Pulsed field gel electrophoresis (PFGE) was used to separate chromosome-sized DNA from two species of microsporidia of fishes. The molecular karyotype of Glugea atherinae exhibits 16 DNA bands from 420 to 2,700 kb, and that of Spraguea lophii 12 bands from 230 to 980 kb. Until now they represent respectively the largest and the smallest genomes visualized for microsporidia: 19.5 Mb for G. atherinae and 6.2 Mb for S. lophii (the smallest nuclear genome in eukaryotic organism). We have analysed separately five strains of G. atherinae (individual cysts), with this technique. The electrophoretic spectra are the same for these strains, except for the absence of the 2,380-kb band in one case. Therefore, the karyotype seems to be rather well conserved for this species.

Animals↗
PubMed2006

Integrated functional visualization of eukaryotic genomes.

BACKGROUND: Increasing amounts of data from large scale whole genome analysis efforts demands convenient tools for manipulation, visualization and investigation. Whole genome plots offer an intuitive window to the analysis. We describe two applications that enable users to easily plot and explore whole genome data from their own or other researchers' experiments. RESULTS: STRIPE and GFFtool (General Feature Format Tool) are softwares designed to support integration, visualization and exploration of whole genome data from eukaryotic genomes. STRIPE, in addition to providing a highly customizable and interactive data plot, provides access to numerous well-selected databases with updated information on all genes of a genome. GFFtool provides a user-friendly solution to integrating experimental data with the genomic information available in public databases. They also obviate the need for users to maintain large annotation resources, as they link to well-known resources using standard gene and protein identifiers. CONCLUSION: The programs provide the user with broad genomic overviews of data distribution, fast access to data of interest, and the ability to navigate speedily from one resource to another, and gain a better understanding of result of whole genome analysis experiments.

Algorithms↗
PubMed2005

VIS-O-BAC: exploratory visualization of functional genome studies from bacteria.

UNLABELLED: The visualization-aided exploration of complex datasets will allow the research community to formulate novel functional hypotheses leading to a better understanding of biological processes at all levels. Therefore, we have developed a web resource termed VIS-O-BAC designed for the functional investigation of expression data for model systems, such as bacterial pathogens based on a graphical display. Genome-scale datasets derived from typical 'omic' approaches can directly be explored with respect to three biologically relevant aspects, the genome structure (operon organization), the organization of genes in pathways (KEGG) and the gene function with Gene Ontology (GO) terms. The integrated viewers can be used in parallel and combine expression data and functional annotations from different external data repositories. The graphical visualizations evidently accelerate both the validation of regulatory information and the detection of affected biological processes. AVAILABILITY: http://leger2.gbf.de/cgi-bin/vis-o-bac.pl. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Chromosome Mapping↗