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PubMed2004

Genome image programs: visualization and interpretation of Escherichia coli microarray experiments.

We have developed programs to facilitate analysis of microarray data in Escherichia coli. They fall into two categories: manipulation of microarray images and identification of known biological relationships among lists of genes. A program in the first category arranges spots from glass-slide DNA microarrays according to their position in the E. coli genome and displays them compactly in genome order. The resulting genome image is presented in a web browser with an image map that allows the user to identify genes in the reordered image. Another program in the first category aligns genome images from two or more experiments. These images assist in visualizing regions of the genome with common transcriptional control. Such regions include multigene operons and clusters of operons, which are easily identified as strings of adjacent, similarly colored spots. The images are also useful for assessing the overall quality of experiments. The second category of programs includes a database and a number of tools for displaying biological information about many E. coli genes simultaneously rather than one gene at a time, which facilitates identifying relationships among them. These programs have accelerated and enhanced our interpretation of results from E. coli DNA microarray experiments. Examples are given.

Chromosome Mapping↗
PubMed2005

Visualization of comparative genomic analyses by BLAST score ratio.

BACKGROUND: The first microbial genome sequence, Haemophilus influenzae, was published in 1995. Since then, more than 400 microbial genome sequences have been completed or commenced. This massive influx of data provides the opportunity to obtain biological insights through comparative genomics. However few tools are available for this scale of comparative analysis. RESULTS: The BLAST Score Ratio (BSR) approach, implemented in a Perl script, classifies all putative peptides within three genomes using a measure of similarity based on the ratio of BLAST scores. The output of the BSR analysis enables global visualization of the degree of proteome similarity between all three genomes. Additional output enables the genomic synteny (conserved gene order) between each genome pair to be assessed. Furthermore, we extend this synteny analysis by overlaying BSR data as a color dimension, enabling visualization of the degree of similarity of the peptides being compared. CONCLUSIONS: Combining the degree of similarity, synteny and annotation will allow rapid identification of conserved genomic regions as well as a number of common genomic rearrangements such as insertions, deletions and inversions. The script and example visualizations are available at: http://www.microbialgenomics.org/BSR/.

Algorithms↗
PubMed2000

Direct visualization of the genomic distribution and organization of two cervid centromeric satellite DNA families.

Several repetitive DNA fragments were generated from PCR amplifications of caribou DNA using primer sequences derived from the white-tailed deer satellite II DNA clone OvDII. Two fragments, designated Rt-0.5 and Rt-0.7, were sequenced and found to have 96% sequence similarity. These caribou clones also had 85% sequence similarity with OvDII. Multiple-colored fluorescence in situ hybridization (FISH) studies with satellite I and satellite II DNA probes to caribou metaphase chromosomes and extended chromatin fibers provided direct visualization of the genomic organization of these two satellite DNA families, with the following findings: (1) Cervid satellite I DNA is confined to the centromeric regions of the acrocentric autosomes, whereas satellite II DNA is found at the centromeric regions of all chromosomes except for the Y. (2) For most acrocentric chromosomes, the satellite I signal appeared to be medially located at the primary constriction, in contrast to that of satellite II, which appeared to be oriented toward the lateral sides as two separate fluorescent dots. (3) The satellite II clone Rt-0.7 appeared to be enriched in the centromeric region of the caribou X chromosome, a pair of biarmed autosomes, and a number of other acrocentric autosomes. (4) Fiber-FISH demonstrated that the satellite I and satellite II arrays were juxtaposed. On highly extended chromatin fibers, the total length of the hybridization signals for the two satellite DNA arrays often reached 300-400 microm. The length of a given satellite II array usually reached 200 microm, corresponding to 2 x 10(3) kb of DNA in a given centromere.

Animals↗
PubMed2025

Simultaneous Visualization of Protein and Genomic Regions in Plant Nuclei.

Immunohistostaining (IHS) is a widely used technique in diagnostic and research laboratories in which specific antibodies are used to detect and visualize a protein of interest in cells or tissues. Similarly, with specific oligonucleotide probes, the fluorescence in situ hybridization (FISH) method allows one to visualize genomic regions and to analyze its localization in the nuclear space. Here, we describe a combined FISH-IHS technique that enables researchers to determine the localization of protein and genomic loci in plant nuclei simultaneously. This method can be applied to extracted nuclei and sections of paraffin-embedded tissues. It provides a valuable tool to improve our understanding of nuclear dynamics by revealing the spatial relationship between specific genomic loci and target proteins.

In Situ Hybridization, Fluorescence↗
PubMed2004

Primer on medical genomics. Part XI: Visualizing human chromosomes.

In the past century, various methods to visualize human chromosomes were discovered. Chromosome analyses provide an overall view of the human genome that cannot be achieved with any other approach. The methods to visualize chromosomes include various techniques to produce bands along chromosomes, specialized procedures for specific disorders, and fluorescent-labeled DNA for targeted loci. Cytogenetic methods guide the study of the relationship between chromosome structure and gene function. They also aid in mapping locations of genes and identifying chromosome anomalies associated with medical disorders. The clinical diagnosis, prognosis, and response to treatment can be established for many malignant diseases. Cytogenetic methods provide an important diagnostic tool for clinical practice.

Chromosome Aberrations↗
PubMed2006

VizStruct for visualization of genome-wide SNP analyses.

MOTIVATION: The size, dimensionality and the limited range of the data values make visualization of single nucleotide polymorphism (SNP) datasets challenging. The purpose of this study is to evaluate the usefulness of 3D VizStruct, a novel multi-dimensional data visualization technique for analyzing patterns in SNP datasets. RESULTS: VizStruct is an interactive visualization technique that reduces multi-dimensional data to two dimensions using the complex-valued harmonics of the discrete Fourier transform (DFT). In the 3D VizStruct extension, the multi-dimensional SNP data vectors are reduced to three dimensions using a combination of the DFT and the Kullback-Leibler divergence. The performance of 3D VizStruct was challenged with several biologically relevant published datasets that included human Chromosome 21, the human lipoprotein lipase (LPL) gene locus and the multi-locus genotypes of coral populations. In every case, the 3D VizStruct mapping provided an intuitive visual description of the key characteristics of the underlying multi-dimensional genotype.

Animals↗
PubMed2003

GenomeComp: a visualization tool for microbial genome comparison.

We have developed a software tool, GenomeComp, for summarizing, parsing and visualizing the genome sequences comparison results derived from voluminous BLAST textual output. With GenomeComp, the variation between genomes can be easily highlighted, such as repeat regions, insertions, deletions and rearrangements of genomic segments. This software provides a new visualizing tool for microbe comparative genomics.

Computational Biology↗
PubMed2006

CGAT: a comparative genome analysis tool for visualizing alignments in the analysis of complex evolutionary changes between closely related genomes.

BACKGROUND: The recent accumulation of closely related genomic sequences provides a valuable resource for the elucidation of the evolutionary histories of various organisms. However, although numerous alignment calculation and visualization tools have been developed to date, the analysis of complex genomic changes, such as large insertions, deletions, inversions, translocations and duplications, still presents certain difficulties. RESULTS: We have developed a comparative genome analysis tool, named CGAT, which allows detailed comparisons of closely related bacteria-sized genomes mainly through visualizing middle-to-large-scale changes to infer underlying mechanisms. CGAT displays precomputed pairwise genome alignments on both dotplot and alignment viewers with scrolling and zooming functions, and allows users to move along the pre-identified orthologous alignments. Users can place several types of information on this alignment, such as the presence of tandem repeats or interspersed repetitive sequences and changes in G+C contents or codon usage bias, thereby facilitating the interpretation of the observed genomic changes. In addition to displaying precomputed alignments, the viewer can dynamically calculate the alignments between specified regions; this feature is especially useful for examining the alignment boundaries, as these boundaries are often obscure and can vary between programs. Besides the alignment browser functionalities, CGAT also contains an alignment data construction module, which contains various procedures that are commonly used for pre- and post-processing for large-scale alignment calculation, such as the split-and-merge protocol for calculating long alignments, chaining adjacent alignments, and ortholog identification. Indeed, CGAT provides a general framework for the calculation of genome-scale alignments using various existing programs as alignment engines, which allows users to compare the outputs of different alignment programs. Earlier versions of this program have been used successfully in our research to infer the evolutionary history of apparently complex genome changes between closely related eubacteria and archaea. CONCLUSION: CGAT is a practical tool for analyzing complex genomic changes between closely related genomes using existing alignment programs and other sequence analysis tools combined with extensive manual inspection.

Algorithms↗
PubMed1999

The HuGeMap Database: interconnection and visualization of human genome maps.

The HuGeMap database stores the major genetic and physical maps of the human genome. HuGeMap is accessible on the Web at http://www. infobiogen.fr/services/Hugemap and through a CORBA server. A standard genome map data format for the interconnection of genome map databases was defined in collaboration with the EBI. The HuGeMap CORBA server provides this interconnection using the interface definition language IDL. Two graphical user interfaces were developed for the visualization of the HuGeMap data: ZoomMap (http://www.infobiogen.fr/services/zomit/Zoom Map.html) for navigation by zooming and data transformation via magic lenses, and MappetShow (http://www.infobiogen.fr/services/Mappet) for visualizing and comparing maps.

Animals↗
PubMed2004

Visualization of the phylogenetic content of five genomes using dekapentagonal maps.

The methods presented here summarize phylogenetic relationships of genomes in visually appealing and informative figures. Dekapentagonal maps depict phylogenetic information for orthologous genes present in five genomes, and provide a pre-screen for putatively horizontally transferred genes. If the majority of individual gene phylogenies are unresolved, bipartition histograms provide a means of uncovering and analyzing the plurality consensus. Analyses of genomes representing five photosynthetic bacterial phyla and of the prokaryotic contributions to the eukaryotic cell illustrate the utility of the methods.

Archaeoglobus fulgidus↗
PubMed1996

Visualization of ordered genomic RNA and localization of transcriptional complexes in rotavirus.

In double-stranded-RNA (dsRNA) viruses found in animals, bacteria and yeast, the genome is transcribed within the structurally intact core of the virion with extraordinary efficiency. The structural organization of the genome and the enzymes involved in the transcription inside any of these viruses, critical for understanding this process, is not known. Here we report what we believe is the first three-dimensional characterization of the viral genome and the transcription complex in a prototypical dsRNA virus. Rotavirus is a large (diameter 1,000 A) icosahedral virus composed of three capsid protein layers and 11 dsRNA segments. It is the most important cause of gastroenteritis in children, accounting for over a million deaths annually. We show that viral dsRNA forms a dodecahedral structure in which the RNA double helices, interacting closely with the inner capsid layer, are packed around the enzyme complex located at the icosahedral 5-fold axes. The ordered RNA accounts for about 4,500 out of a total 18,525 base pairs in the genome, the largest amount of icosahedrally ordered RNA observed in any virus structure to date. We propose that the observed organization of the dsRNA is conducive for an orchestrated movement of the RNA relative to the enzyme complex during transcription.

Cell Line↗
PubMed2005

Management and visualization of whole genome shotgun assemblies using SAM.

We have designed and implemented a system to manage whole genome shotgun sequences and whole genome sequence assembly data flow. The Sequence Assembly Manager (SAM) consists primarily of a MySQL relational database and Perl applications designed to easily manipulate and coordinate the analysis of sequence information and to view and report genome assembly progress through its Common Gateway Interface (CGI) web interface. The application includes a tool to compare sequence assemblies to fingerprint maps that has been used successfully to improve and validate both maps and sequence assemblies of the Rhodococcus sp.RHAI and Cryptococcus neoformans WM276 genomes.

Algorithms↗
PubMed2022

Flavivirus-Host Interaction Landscape Visualized through Genome-Wide CRISPR Screens.

Flaviviruses comprise several important human pathogens which cause significant morbidity and mortality worldwide. Like any other virus, they are obligate intracellular parasites. Therefore, studying the host cellular factors that promote or restrict their replication and pathogenesis becomes vital. Since inhibiting the host dependency factors or activating the host restriction factors can suppress the viral replication and propagation in the cell, identifying them reveals potential targets for antiviral therapeutics. Clustered regularly interspaced short palindromic repeats (CRISPR) technology has provided an effective means of producing customizable genetic modifications and performing forward genetic screens in a broad spectrum of cell types and organisms. The ease, rapidity, and high reproducibility of CRISPR technology have made it an excellent tool for carrying out genome-wide screens to identify and characterize viral host dependency factors systematically. Here, we review the insights from various Genome-wide CRISPR screens that have advanced our understanding of Flavivirus-Host interactions.

Humans↗
PubMed1998

The biparental transmission of the mitochondrial genome in Chlamydomonas reinhardtii visualized in living cells.

In the isogamous green alga Chlamydomonas reinhardtii, the chloroplast genome is transmitted from the mt+ parent, while the mitochondrial genes are believed to be inherited from the mt- parent. Chloroplast nucleoids have been visualized by DAPI (4,6-diamidino-2-phenylindole) staining, and the preferential digestion of the mt- chloroplast nucleoids has been observed in young zygotes. However, the mitochondrial nucleoids have never been visualized, and their behavior is only deduced from genetic and biochemical studies. We discovered that the mitochondrial and chloroplast genomes can be visualized simultaneously in living cells, using the fluorescent dye SYBR Green I. The ability to visualize the mitochondrial and chloroplast genome in vivo permits the direct observation of the number, distribution and behavior of the chloroplast and mitochondrial nucleoids in young zygotes. Using this method, the biparental transmission of the mitochondrial genome was revealed.

Animals↗
PubMed2002

GenomePixelizer--a visualization program for comparative genomics within and between species.

GenomePixelizer is a visualization tool that generates custom images of the physical or genetic positions of specified sets of genes in whole genomes or parts of genomes. Multiple sets of genes can be shown simultaneously with user-defined characteristics displayed. It allows the analysis of duplication events within and between species based on sequence similarities. The program is written in Tcl/Tk and works on any platform that supports the Tcl/Tk toolkit. GenomePixelizer generates HTML ImageMap tags for each gene in the image allowing links to databases. Images can be saved and presented on web pages.

Computational Biology↗
PubMed1994

Phylogenetic relationships among vertebrate visual pigments.

Genomic DNA fragments in exon 4 of chicken, goldfish and salmon visual pigments were amplified by polymerase chain reaction, using oligonucleotide mixtures as primers, and hypothetical phylogenetic trees were drawn up from the deduced amino acid sequences. The results suggest that vertebrate visual pigments have evolved along at least five lines, and that these lines diverged from an ancestral gene before the bony fishes diverged from the rest of the higher vertebrates.

Amino Acid Sequence↗
PubMed1997

GRS: a graphic tool for genome retrieval and segment analysis.

GRS is a graphic tool for retrieval and visualization of genome segments from partially or completely sequenced genomes. To facilitate visual identification of conserved genomic motifs, genes are color-coded according to their presumed functional roles. Aligned genes can be rapidly screened for potential homology by automatic retrieval and alignment of the corresponding protein sequences. Furthermore, the map location of any genome segment can be visually compared to the position of the same segment in other genomes or to the position of other segments within the same genome. The gene string analysis option of GRS allows the identification of genes that are identically arranged in any pairwise set of genomes. Finally, the program allows the user to create new gene table format files to enable comparisons of gene order structures in recently determined sequence data to the patterns of genes in already existing microbial and organellar databases. With the help of GRS, the genomic contexts of genes for which no identifiable homologues exist can be analyzed to provide an additional source of information for sequence annotations. We illustrate the use of GRS by analyzing the structure and distribution of phylogenetically conserved motifs in closely as well as more distantly related microbial genomes.

Computer Graphics↗
PubMed2000

Graphical tools for comparative genome analysis.

Visualization of data is important for many data-rich disciplines. In biology, where data sets are becoming larger and more complex, graphical analysis is felt to be ever more pertinent. Although some patterns and trends in data sets may only be determined by sophisticated computational analysis, viewing data by eye can provide us with an extraordinary amount of information in an instant. Recent advances in bioinformatic technologies allow us to link graphical tools to data sources with ease, so we can visualize our data sets dynamically. Here, an overview of graphical software tools for comparative genome analysis is given, showing that a range of simple tools can provide us with a powerful view of the differences and similarities between genomes.

Animals↗