iMap: a database-driven utility to integrate and access the genetic and physical maps of maize

MOTIVATION: Because of the unique biological features, a bioinformatic platform for the integrated genetic and physical map of maize is required for storing, integrating, accessing and visualizing the underlying data. RESULTS: The goal of the Maize Mapping Project is to develop a fully integrated genetic and physical map for maize. To display this integrated map, we have developed iMap. iMap has three main components: a relational database (iMapDB), a map graphic browser (iMap Viewer) and a search utility (iMap Search). iMapDB is populated with current genetic and physical map data, describing relationships among genetic loci, molecular markers and bacterial artificial chromosome (BAC) contigs. The database also contains integrated information produced by applying a set of anchoring rules to assign BAC contigs to specific locations on the genetic map. The iMap Viewer and iMap Search functions are combined in the user interface to allow viewing and retrieving many types of genetic and physical map data. The iMap Viewer features side-by-side chromosome-based displays of the genetic map and associated BAC contigs. For each genetic locus, information about marker type or contig can be viewed via pop-up windows that feature links to external data resources. Searches can be conducted for genetic locus, probe or sequence accession number; search results include relevant map positions, anchored BAC contigs and links to the graphical display of relevant chromosomes. iMap can be accessed at http://www.maizemap.org AVAILABILITY: The iMap utility package is available for non-commercial use upon request from the authors.     

FloraGREIF – An Internet-Based Data Repository for Biogeographical Research in Mongolia

FloraGREIF presents an internet-based information tool on the vascular plant flora of Mongolia combining taxon- and record-specific information, text and image information with map information and digitized plant specimens with images of living species and their habitats. Based on an updated checklist as taxonomic backbone, information is split into the “taxon” and the “record” level. At the taxon level the user finds taxonomic diagnoses, habitat information, and species distribution within the floristic regions of Mongolia. The latter is visualized in a Web GIS application. The record level offers information for all records assigned to one taxon, which may include locality data only or additional, high-resolution scans of herbarium specimens combined with images from living species and their habitats. Several query masks allow a flexible search and display of species lists. The interactive Web GIS application links taxon or record information with various map layers, comprising administrative units, topography and orography, floristic regions and vegetation zones of Mongolia. They present background information for the display of species distribution or record localities. FloraGREIF offers a virtual research environment to make the substantial information on Mongolia’s flora mainly published in Russian accessible to the public.     

LAMS™—A laboratory animal management system

The LAMS™ database stores data on a colony of breeding animals. Forms are hierarchial and show details of internal codes, matings, litters, and offspring. The identifier given to each animal can be subdivided as such. Each form shows an abbreviated list of the related data from the form one level down, and some special fields, when double-clicked, cause the related record to be displayed. The print button allows the user to print the current record and its related records. Other buttons on each form allow the user to amend, delete, find, and add records within certain rules. User-defined lists are created to allow the selection of various characteristics during data entry. The offspring form contains a section where the user can define the label of a comment and/or a text field. This name is then always subsequently available as an option in a list of user-defined labels. Reports are available for tailtipping dates (if applicable) and calculation of genetic ratios. A queryform allows the user to filter the records in the offspring form to the criteria specified, and a display of the actual query submitted is shown. An integrated HELP is available. The LAMS™ database is available at http://www.hgu.mrc.ac.uk/Softdata/Lams Received: 27 April 1998 / Accepted: 9 November 1998     

MiSearch adaptive pubMed search tool

MiSearch is an adaptive biomedical literature search tool that ranks citations based on a statistical model for the likelihood that a user will choose to view them. Citation selections are automatically acquired during browsing and used to dynamically update a likelihood model that includes authorship, journal and PubMed indexing information. The user can optionally elect to include or exclude specific features and vary the importance of timeliness in the ranking. AVAILABILITY: http://misearch.ncibi.org. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.     

PrepMS: TOF MS data graphical preprocessing tool

We introduce a simple-to-use graphical tool that enables researchers to easily prepare time-of-flight mass spectrometry data for analysis. For ease of use, the graphical executable provides default parameter settings, experimentally determined to work well in most situations. These values, if desired, can be changed by the user. PrepMS is a stand-alone application made freely available (open source), and is under the General Public License (GPL). Its graphical user interface, default parameter settings, and display plots allow PrepMS to be used effectively for data preprocessing, peak detection and visual data quality assessment. AVAILABILITY: Stand-alone executable files and Matlab toolbox are available for download at: http://sourceforge.net/projects/prepms     

Genome Annotation Resource Fields--GARFIELD: a genome browser for Felis catus

Annotation features from the 1.9-fold whole-genome shotgun (WGS) sequences of domestic cat have been organized into an interactive web application, Genome Annotation Resource Fields (GARFIELD) (http://lgd.abcc.ncifcrf.gov) at the Laboratory of Genomic Diversity and Advanced Biomedical Computing Center (ABCC) at The National Cancer Institute (NCI). The GARFIELD browser allows the user to view annotations on a per chromosome basis with unplaced contigs provided on placeholder chromosomes. Various tracks on the browser allow display of annotations. A Genes track on the browser includes 20 285 regions that align to genes annotated in other mammalian genomes: Homo sapiens, Pan troglodytes, Mus musculus, Rattus norvegicus, Bos taurus, and Canis familiaris. Also available are tracks that display the contigs that make up the chromosomes and representations of their GC content and repetitive elements as detected using the RepeatMasker (http://www.repeatmasker.org). Data from the browser can be downloaded in FASTA and GFF format, and users can upload their own data to the display. The Felis catus sequences and their chromosome assignments and additional annotations incorporate data analyzed and produced by a multicenter collaboration between NCI, ABCC, Agencourt Biosciences Corporation, Broad Institute of Harvard and Massachusetts Institute of Technology, National Human Genome Research Institute, National Center for Biotechnology and Information, and Texas A&M.     

MOLMOL: A program for display and analysis of macromolecular structures

MOLMOL is a molecular graphics program for display, analysis, and manipulation of three-dimensional structures of biological macromolecules, with special emphasis on nuclear magnetic resonance (NMR) solution structures of proteins and nucleic acids. MOLMOL has a graphical user interface with menus, dialog boxes, and on-line help. The display possibilities include conventional presentation, as well as novel schematic drawings, with the option of combining different presentations in one view of a molecule. Covalent molecular structures can be modified by addition or removal of individual atoms and bonds, and three-dimensional structures can be manipulated by interactive rotation about individual bonds. Special efforts were made to allow for appropriate display and analysis of the sets of typically 20–40 conformers that are conventionally used to represent the result of an NMR structure determination, using functions for superimposing sets of conformers, calculation of root mean square distance (RMSD) values, identification of hydrogen bonds, checking and displaying violations of NMR constraints, and identification and listing of short distances between pairs of hydrogen atoms.     

31 Effects of light and ammonium on growth,ammonium uptake and pigmentation of four porphyra (bangiales,rhodophyta) species native to the northwestern atlantic

“Phytopia: Discovery of the Marine Ecosystem” is an educational CD‐ROM that features a wealth of new images, animations, microscope‐ and satellite‐derived data sets, and multimedia discovery tools. It has received support from NASA and the National Science Foundation and can ordered on‐line through http://www.bigelow.org/phytopia . A pre‐release version of the “Phytopia” was tested by students, educators, and scientists at 34 institutions in Britain, Germany, Russia, and throughout the U.S. This product is designed for use in undergraduate classes; however, our testing has shown that it provides an exciting and interactive learning experience appropriate for Grades 7 and higher. The virtual microscope tool allows the user to view prepared assemblages of plankton at various magnifications, under different epifluorescence conditions, or by scanning electron microscopy. For several species, the user can view movies showing the organism's motility. Some species are featured as three‐dimensional models that can be viewed from any perspective. “Phytopia” also helps users connect ocean primary productivity patterns with environmental factors in several geographic areas. Innovative tools allow investigation of co‐registered temperature, wind, current, nutrient, and ocean color data. This tool is aligned with research efforts to better understand plankton ecology using remotely sensed data.     

A microcomputer based program for the storage and retrieval of experimental animal information

A microcomputer based program for the storage and selective retrieval of experimental animal information has been developed for use on any system which runs under CP/M system software. The program has been designed to be completely conversational, to communicate with the user in French, English, or Spanish, and to allow the user to define the data format and the alphanumeric coding scheme.     

TOPALi: software for automatic identification of recombinant sequences within DNA multiple alignments

SUMMARY: TOPALi is a new Java graphical analysis application that allows the user to identify recombinant sequences within a DNA multiple alignment (either automatically or via manual investigation). TOPALi allows a choice of three statistical methods to predict the positions of breakpoints due to past recombination. The breakpoint predictions are then used to identify putative recombinant sequences and their relationships to other sequences. In addition to its sophisticated interface, TOPALi can import many sequence formats, estimate and display phylogenetic trees and allow interactive analysis and/or automatic HTML report generation. AVAILABILITY: TOPALi is freely available from http://www.bioss.ac.uk/software.html     

In search of a functional flora—towards a greater integration of ecology and taxonomy

Large-scale biodiversity informatics projects will not properly address the needs of one important potential user group. Ecologists do not have ready access to datasets which allow them to assign plant species to functional types. We believe that information technology has developed sufficiently to allow taxonomists and ecologists to work together to address this need and develop specimen databases to combine taxonomic data with ecological and ecophysiological information so that this information will be assigned to the correct taxon in the future. Digital images provide a rapid and economical method of vouchering specimen data, reducing the need to store physical vouchers in herbaria.     

A computer program for the graphical and iterative fitting of probability density functions to biological data.

A tutorially-assisted, interactive program, written for a Digital Equipment Corporation LAB-11 minicomputer (PDP-11/20, is described which allows a user to fit (with or without automatic estimation of initial parameter values), by a method of nonlinear least squres, any one of seven different types of probability density functions (p.d.f.'s) to an empirical frequency distribution; the latter of which may be input to the program or formed by the program whenever it is furnished a series of times between events. The iteratively-obtained, "best fit" p.d.f. is displayed on a two color, point-plot display against the background of a point-plot histogram. By selecting any one of nine output modes, the user is allowed: (1) to view histograms successively on the point-plot display, (2) to generate selected p.d.f.'s (3) to "force" p.d.f.'s having known parameters through the histogram data, (4) to obtain Chi-square (x2) and Kolmogorov-Smionov estimates of the goodness of fit to the data, and (5) to apply a special test [Williams and Kloot, 1953] in order to determine whether the least squares estimates of two candidate models are statistically different. The resident driver program and the four overlayable program segments are written in standard FORTRAN IV; except for two plot routines, which are written in PDP-11 assembly language.     

GT-Miner: a graph-theoretic data miner, viewer, and model processor

Inexpensive computational power combined with high-throughput experimental platforms has created a wealth of biological information requiring analytical tools and techniques for interpretation. Graph-theoretic concepts and tools have provided an important foundation for information visualization, integration, and analysis of datasets, but they have often been relegated to background analysis tasks. GT-Miner is designed for visual data analysis and mining operations, interacts with other software, including databases, and works with diverse data types. It facilitates a discovery-oriented approach to data mining wherein exploration of alterations of the data and variations of the visualization is encouraged. The user is presented with a basic iterative process, consisting of loading, visualizing, transforming, and then storing the resultant information. Complex analyses are built-up through repeated iterations and user interactions. The iterative process is optimized by automatic layout following transformations and by maintaining a current selection set of interest for elements modified by the transformations. Multiple visualizations are supported including hierarchical, spring, and force-directed self-organizing layouts. Graphs can be transformed with an extensible set of algorithms or manually with an integral visual editor. GT-Miner is intended to allow easier access to visual data mining for the non-expert.     

MetaSee: An Interactive and Extendable Visualization Toolbox for Metagenomic Sample Analysis and Comparison

The NGS (next generation sequencing)-based metagenomic data analysis is becoming the mainstream for the study of microbial communities. Faced with a large amount of data in metagenomic research, effective data visualization is important for scientists to effectively explore, interpret and manipulate such rich information. The visualization of the metagenomic data, especially multi-sample data, is one of the most critical challenges. The different data sample sources, sequencing approaches and heterogeneous data formats make robust and seamless data visualization difficult. Moreover, researchers have different focuses on metagenomic studies: taxonomical or functional, sample-centric or genome-centric, single sample or multiple samples, etc. However, current efforts in metagenomic data visualization cannot fulfill all of these needs, and it is extremely hard to organize all of these visualization effects in a systematic manner. An extendable, interactive visualization tool would be the method of choice to fulfill all of these visualization needs. In this paper, we have present MetaSee, an extendable toolbox that facilitates the interactive visualization of metagenomic samples of interests. The main components of MetaSee include: (I) a core visualization engine that is composed of different views for comparison of multiple samples: Global view, Phylogenetic view, Sample view and Taxa view, as well as link-out for more in-depth analysis; (II) front-end user interface with real metagenomic models that connect to the above core visualization engine and (III) open-source portal for the development of plug-ins for MetaSee. This integrative visualization tool not only provides the visualization effects, but also enables researchers to perform in-depth analysis of the metagenomic samples of interests. Moreover, its open-source portal allows for the design of plug-ins for MetaSee, which would facilitate the development of any additional visualization effects.     

A visual data flow environment for macromolecular crystallographic computing

This article describes the integration of programs from the widely used CCP4 macromolecular crystallography package into a modern data flow visualization environment (application visualization system [AVS]), which provides a simple graphical user interface, a visual programming paradigm, and a variety of 1-, 2-, and 3-D data visualization tools for the display of graphical information and the results of crystallographic calculations, such as electron density and Patterson maps. The CCP4 suite comprises a number of separate Fortran 77 programs, which communicate via common file formats. Each program is encapsulated into an AVS macro module, and may be linked to others in a data flow network, reflecting the nature of many crystallo-graphic calculations. Named pipes are used to pass input parameters from a graphical user interface to the program module, and also to intercept line printer output, which can be filtered to extract graphical information and significant numerical parameters. These may be passed to downstream modules, permitting calculations to be automated if no user interaction is required, or giving the user the opportunity to make selections in an interactive manner.