The Genome Sequence DataBase (GSDB): improving data quality and data access.

In 1997 the primary focus of the Genome Sequence DataBase (GSDB; www. ncgr.org/gsdb ) located at the National Center for Genome Resources was to improve data quality and accessibility. Efforts to increase the quality of data within the database included two major projects; one to identify and remove all vector contamination from sequences in the database and one to create premier sequence sets (including both alignments and discontiguous sequences). Data accessibility was improved during the course of the last year in several ways. First, a graphical database sequence viewer was made available to researchers. Second, an update process was implemented for the web-based query tool, Maestro. Third, a web-based tool, Excerpt, was developed to retrieve selected regions of any sequence in the database. And lastly, a GSDB flatfile that contains annotation unique to GSDB (e.g., sequence analysis and alignment data) was developed. Additionally, the GSDB web site provides a tool for the detection of matrix attachment regions (MARs), which can be used to identify regions of high coding potential. The ultimate goal of this work is to make GSDB a more useful resource for genomic comparison studies and gene level studies by improving data quality and by providing data access capabilities that are consistent with the needs of both types of studies.     

Genome mapping: cDNA approaches.

Clones of cDNAs have several practical advantages as start points for making physical maps of genomes: they are mainly single copy; they expand the map because of the introns in the genomic version of the gene; and they are conserved between species. They also address biologically important regions of the genome. Sequence information helps to identify new gene functions.     

Realtime acquisition, storage, and display of correlated three-parameter flow cytometric data

A microprocessor-based system which performs realtime correlated acquisition, storage and display of multiparameter (3-parameter) data from a flow cytometer (FACS-III) is presented. List-mode techniques are not employed. The 3-parameter data is collected and correlated, then displayed along with cell-frequency as a realtime 3-parameter colour scattergram, while the experiment is in progress; in addition, correlated and uncorrelated higher-resolution projections of the 3-parameter data are collected and stored. The data projections may also be displayed: as 1-parameter histograms, or as 2-parameter colour or grey-scale scattergrams. Examples of 2- and 3-parameter colour scattergrams are presented. The speed and some characteristics of the realtime acquisition and display software are examined; methods to increase the realtime speed are discussed.     

TabSQL: a MySQL tool to facilitate mapping user data to public databases

Background  

With advances in high-throughput genomics and proteomics, it is challenging for biologists to deal with large data files and to map their data to annotations in public databases.     

CBS Genome Atlas Database: a dynamic storage for bioinformatic results and sequence data

SUMMARY: Currently, new bacterial genomes are being published on a monthly basis. With the growing amount of genome sequence data, there is a demand for a flexible and easy-to-maintain structure for storing sequence data and results from bioinformatic analysis. More than 150 sequenced bacterial genomes are now available, and comparisons of properties for taxonomically similar organisms are not readily available to many biologists. In addition to the most basic information, such as AT content, chromosome length, tRNA count and rRNA count, a large number of more complex calculations are needed to perform detailed comparative genomics. DNA structural calculations like curvature and stacking energy, DNA compositions like base skews, oligo skews and repeats at the local and global level are just a few of the analysis that are presented on the CBS Genome Atlas Web page. Complex analysis, changing methods and frequent addition of new models are factors that require a dynamic database layout. Using basic tools like the GNU Make system, csh, Perl and MySQL, we have created a flexible database environment for storing and maintaining such results for a collection of complete microbial genomes. Currently, these results counts to more than 220 pieces of information. The backbone of this solution consists of a program package written in Perl, which enables administrators to synchronize and update the database content. The MySQL database has been connected to the CBS web-server via PHP4, to present a dynamic web content for users outside the center. This solution is tightly fitted to existing server infrastructure and the solutions proposed here can perhaps serve as a template for other research groups to solve database issues. AVAILABILITY: A web based user interface which is dynamically linked to the Genome Atlas Database can be accessed via www.cbs.dtu.dk/services/GenomeAtlas/. SUPPLEMENTARY INFORMATION: This paper has a supplemental information page which links to the examples presented: www.cbs.dtu.dk/services/GenomeAtlas/suppl/bioinfdatabase.     

Personal access to sequence databases on personal computers.

A comprehensive package of software has been developed to access nucleic acid and protein sequence databases on stand-alone IBM personal computers. The software combines keyword search on the annotation fields of the data with pattern matching algorithms on the biological sequences. Sequences containing complex sites like promoters or kink sites can be identified as well as sequences that are similar to a query sequence. Protein sequences with particular patterns of amino acids such as hydrophobic regions can be identified as well. Considering the relatively inexpensive hard disks now available, personal computers have become a cost-effective alternative to mainframe processing for sequence databases.     

trEST, trGEN and Hits: access to databases of predicted protein sequences

High throughput genome (HTG) and expressed sequence tag (EST) sequences are currently the most abundant nucleotide sequence classes in the public database. The large volume, high degree of fragmentation and lack of gene structure annotations prevent efficient and effective searches of HTG and EST data for protein sequence homologies by standard search methods. Here, we briefly describe three newly developed resources that should make discovery of interesting genes in these sequence classes easier in the future, especially to biologists not having access to a powerful local bioinformatics environment. trEST and trGEN are regularly regenerated databases of hypothetical protein sequences predicted from EST and HTG sequences, respectively. Hits is a web-based data retrieval and analysis system providing access to precomputed matches between protein sequences (including sequences from trEST and trGEN) and patterns and profiles from Prosite and Pfam. The three resources can be accessed via the Hits home page (http://hits. isb-sib.ch).     

Genomic databases access agreements: legal validity and possible sanctions

Large-scale, public genomic databases have greatly improved the capacity of researchers to do genomic research. In order to ensure that the scientific community uses data from these public resources properly, data access agreements have been developed to complement already existing legal and ethical norms. Sanctions to address cases of data misuse constitute an essential part of this compliance framework meant to protect stakeholders in genomic research. Yet very little research and community debate has been done on this most important topic. This paper presents a review of different sanctions that could be invoked in cases of non-compliance from data users. They have been identified through comprehensive research and analysis of over 450 documents (journal articles, policy, guidelines, access policies, etc.) related to this topic. Given the considerable impact on users of even the milder sanctions considered in our paper, it is essential that stakeholders strive to achieve the highest degree of standardization and transparency when designing controlled-access agreements. It is only fair, after all, that users be able to expect that the border between acceptable and unacceptable conduct is clearly delineated and predictable in controlled-access policies. This suggests the importance for researchers to undertake additional empirical studies on the clarity and accessibility of existing database access agreements and related policies in the near future.     

Cyclone: java-based querying and computing with Pathway/Genome databases

Cyclone aims at facilitating the use of BioCyc, a collection of Pathway/Genome Databases (PGDBs). Cyclone provides a fully extensible Java Object API to analyze and visualize these data. Cyclone can read and write PGDBs, and can write its own data in the CycloneML format. This format is automatically generated from the BioCyc ontology by Cyclone itself, ensuring continued compatibility. Cyclone objects can also be stored in a relational database CycloneDB. Queries can be written in SQL, and in an intuitive and concise object-oriented query language, Hibernate Query Language (HQL). In addition, Cyclone interfaces easily with Java software including the Eclipse IDE for HQL edition, the Jung API for graph algorithms or Cytoscape for graph visualization. AVAILABILITY: Cyclone is freely available under an open source license at: http://sourceforge.net/projects/nemo-cyclone. SUPPLEMENTARY INFORMATION: For download and installation instructions, tutorials, use cases and examples, see http://nemo-cyclone.sourceforge.net.     

Genome radiation hybrid mapping: summary and future directions

Genome mapping by means of radiation-induced interspecific cell hybrids is a direct way to localize both high- and low-polymorphic nucleotide sequences, including gene sequences, on animal chromosomes. Using radiation hybrid panels either individual chromosomes and loci or entire genome can be mapped. This efficient approach makes it possible to reach high resolution of markers (up to 100 bp) as well as unify the mapping language. Due to electronic means of communication, the same experimental material can be used in numerous laboratories to provide high-resolution extended genomic maps saturated with markers. Radiation hybrid mapping is a powerful tool for analysis of complex genome structure. Using radiation hybrid maps permitted verification of regions of chromosome homeology in various species and detection of regions with conserved sequence and conserved gene order. Identification of these regions is extremely important for understanding evolution of species karyotypes and for making use of positional cloning to isolate genes responsible for commercial traits as well as genes involved in hereditary human diseases.     

caBIONet--A .NET wrapper to access and process genomic data stored at the National Cancer Institute's Center for Bioinformatics databases

MOTIVATION: The National Cancer Institute's Center for Bioinformatics (NCICB) has developed a Java based data management and information system called caCORE. One component of this software suite is the object oriented API (caBIO) used to access the rich biological datasets collected at the NCI. This API can access the data using native Java classes, SOAP requests or HTTP calls. Non-Java based clients wanting to use this API have to use the SOAP or HTTP interfaces with the data being returned from the NCI servers as an XML data stream. Although the XML can be read and manipulated using DOM or SAX parsers, one loses the convenience and usability of an object oriented programming paradigm. caBIONet is a set of .NET wrapper classes (managers, genes, chromosomes, sequences, etc.) capable of serializing the XML data stream into local .NET objects. The software is able to search NCICB databases and provide local objects representing the data that can be manipulated and used by other .NET programs. The software was written in C# and compiled as a .NET DLL.     

A 3.5 genome equivalent multi access YAC library: construction, characterisation, screening and storage.

The construction of a yeast artificial chromosome (YAC) primary gridded library of 35,000 clones from human lymphoblastoid (48,XXXX) cell line DNA is described. The average YAC size is approximately 350kb representing a greater than 3.5 times coverage of the genome. The library is stored at -70 degrees C as gridded clones on nylon filters impregnated with 20% glycerol and as glycerol suspensions of individual clones in microtitre plates providing a prolonged multi-user potential. To date we have used 14 single copy probes to screen this library by colony hybridisation as well as PCR and have isolated between 1 and 5 YAC clones for every probe.