Submission of nucleotide sequence data to EMBL/GenBank/DDBJ

This review outlines the various methods available for submitting sequence data to the EMBL Nucleotide Sequence Database. Depending on the type of sequence data and the facilities available to the submitter, one method may be more suitable than another. Recent developments have been the World Wide Web submission tool, procedures for bulk submissions and genome projects.     

DNA Data Bank of Japan dealing with large-scale data submission.

The DNA Data Bank of Japan (DDBJ) (http//:www.ddbj.nig.ac.jp) has developed a software system for mass submissions to cope with a recent expansion of EST and genome data submissions. The system is composed of four parts, the WWW data submission, large-scale submission, submission management and storing. Using this system one can submit data on a large number of sequences or a very long sequence while checking the consistency between the annotation and sequence without much effort. DDBJ has received large scale data of Homo sapiens, Arabidopsis and Pyrococcus from Japanese researchers who made full use of the new submission system.     

BarleyExpress: a web-based submission tool for enriched microarray database annotations

BarleyExpress is a web-based microarray experiment data submission tool for BarleyBase, a public data resource of Affymetrix GeneChip data for plants. BarleyExpress uses the Plant Ontology vocabularies and enhances the MIAME guidelines to standardize the annotation of microarray gene expression experiments. In addition, BarleyExpress provides explicit support for factorial experiment design and template loading methods to ease the submission process for large experiments. AVAILABILITY: http://barleybase.org SUPPLEMENTARY INFORMATION: BarleyExpress Users Manual.     

The factor VIII Structure and Mutation Resource Site: HAMSTeRS version 4.

Since 1996 the HAMSTeRS (Haemophilia A Mutation, Search, Test and Resource Site) WWW site has provided an online resource for access to data on the molecular pathology of haemophilia A, replacing previous text editions of the Haemophilia A Database published in Nucleic Acids Research . This report describes the continued development of the site (version 4), and in particular the expansion of factor VIII (FVIII) structure-related features. Access to the mutation database itself, both for searching the listings and for submission of new mutations, is via custom-designed forms: more powerful Boolean searches of the point mutations in the database are also available. During 1997 a total of 22 novel missense mutations were reported, increasing the total number of unique variants now described to 252 (238 in exonic sequences and 14 at intronic splice junctions). Currently, a total of 586 individual reports with associated phenotypic data are available for searching by any category including phenotype. The FVIII structure section now includes a download of a FVIII A domain homology model in Protein Data Bank format and a multiple alignment of the FVIII amino-acid sequencies from four species (human, murine, porcine and canine) in addition to the virtual reality simulations, secondary structural data and FVIII animation already available. Finally, to aid navigation across this site, a clickable roadmap of the main features provides easy access to the page desired. Our intention is that continued development and updating of the site shall provide workers in the fields of molecular and structural biology with a one-stop resource site to facilitate FVIII research and education. The HAMSTeRS URL is http://europium.mrc.rpms.ac.uk     

Dynamic publication model for neurophysiology databases.

We have implemented a pair of database projects, one serving cortical electrophysiology and the other invertebrate neurones and recordings. The design for each combines aspects of two proven schemes for information interchange. The journal article metaphor determined the type, scope, organization and quantity of data to comprise each submission. Sequence databases encouraged intuitive tools for data viewing, capture, and direct submission by authors. Neurophysiology required transcending these models with new datatypes. Time-series, histogram and bivariate datatypes, including illustration-like wrappers, were selected by their utility to the community of investigators. As interpretation of neurophysiological recordings depends on context supplied by metadata attributes, searches are via visual interfaces to sets of controlled-vocabulary metadata trees. Neurones, for example, can be specified by metadata describing functional and anatomical characteristics. Permanence is advanced by data model and data formats largely independent of contemporary technology or implementation, including Java and the XML standard. All user tools, including dynamic data viewers that serve as a virtual oscilloscope, are Java-based, free, multiplatform, and distributed by our application servers to any contemporary networked computer. Copyright is retained by submitters; viewer displays are dynamic and do not violate copyright of related journal figures. Panels of neurophysiologists view and test schemas and tools, enhancing community support.     

ArrayExpress: a public database of gene expression data at EBI

ArrayExpress is a public repository for microarray-based gene expression data, resulting from the implementation of the MAGE object model to ensure accurate data structuring and the MIAME standard, which defines the annotation requirements. ArrayExpress accepts data as MAGE-ML files for direct submissions or data from MIAMExpress, the MIAME compliant web-based annotation and submission tool of EBI. A team of curators supports the submission process, providing assistance in data annotation. Data retrieval is performed through a dedicated web interface. Relevant results may be exported to ExpressionProfiler, the EBI based expression analysis tool available online (http://www.ebi.ac.uk/arrayexpress).     

A guide to the Proteomics Identifications Database proteomics data repository

The Proteomics Identifications Database (PRIDE, www.ebi.ac.uk/pride ) is one of the main repositories of MS derived proteomics data. Here, we point out the main functionalities of PRIDE both as a submission repository and as a source for proteomics data. We describe the main features for data retrieval and visualization available through the PRIDE web and BioMart interfaces. We also highlight the mechanism by which tailored queries in the BioMart can join PRIDE to other resources such as Reactome, Ensembl or UniProt to execute extremely powerful across‐domain queries. We then present the latest improvements in the PRIDE submission process, using the new easy‐to‐use, platform‐independent graphical user interface submission tool PRIDE Converter. Finally, we speak about future plans and the role of PRIDE in the ProteomExchange consortium.     

An audit of the positive predictive value of high-grade dyskaryosis in cervical smears: 2001–2002

The positive predictive value (PPV) of high-grade dyskaryosis for cervical intraepithelial neoplasia grade 2 (CIN2) or worse on histology is published annually for the laboratories in the UK National Health Service Cervical Screening Programme (NHSCSP). The PPV fell in 2001 compared with 2000 for four of the five consultants reporting cervical smears in our laboratory, the greatest fall being from 91.6% to 77.9%. Investigation of the possible reasons for the fall suggested the main cause lay outside the laboratory in the type of biopsy taken at colposcopy. We conclude that biopsy type affects accuracy of PPV calculations. There is variation in collection and submission of KC61 data including PPV across laboratories. This factor needs to be taken into account when publishing and comparing laboratory data for the NHSCSP.     

ArrayExpress--a public repository for microarray gene expression data at the EBI

ArrayExpress is a new public database of microarray gene expression data at the EBI, which is a generic gene expression database designed to hold data from all microarray platforms. ArrayExpress uses the annotation standard Minimum Information About a Microarray Experiment (MIAME) and the associated XML data exchange format Microarray Gene Expression Markup Language (MAGE-ML) and it is designed to store well annotated data in a structured way. The ArrayExpress infrastructure consists of the database itself, data submissions in MAGE-ML format or via an online submission tool MIAMExpress, online database query interface, and the Expression Profiler online analysis tool. ArrayExpress accepts three types of submission, arrays, experiments and protocols, each of these is assigned an accession number. Help on data submission and annotation is provided by the curation team. The database can be queried on parameters such as author, laboratory, organism, experiment or array types. With an increasing number of organisations adopting MAGE-ML standard, the volume of submissions to ArrayExpress is increasing rapidly. The database can be accessed at http://www.ebi.ac.uk/arrayexpress.     

SNPCEQer II: the integrated detection and analysis of SNPs in DNA sequences

SNPCEQer II is a graphical user interface (GUI)-based application that integrates single nucleotide polymorphism (SNP) detection, SNP analysis and SNP editing in the Microsoft Windows (R) environment. SNPCEQer II detects SNPs in DNA sequences generated by the Beckman CEQ TM 2000 XL DNA analysis system. It provides tools to analyse SNPs by inspecting and comparing trace data (chromatograms) around putative SNPs with that of other related DNA sequences, and it can search for those SNPs in the National Center for Biotechnology Information (NCBI) databases. SNPCEQer II can determine the mutation type of a coding SNP and generate data for submission to the dbSNP database. The SNP report can be edited and printed, as can the chromatograms. SNPCEQer II is implemented in Visual C++.     

DNA Data Bank of Japan at work on genome sequence data.

We at the DNA Data Bank of Japan (DDBJ) (http://www.ddbj.nig.ac.jp) have recently begun receiving, processing and releasing EST and genome sequence data submitted by various Japanese genome projects. The data include those for human, Arabidopsis thaliana, rice, nematode, Synechocystis sp. and Escherichia coli. Since the quantity of data is very large, we organized teams to conduct preliminary discussions with project teams about data submission and handling for release to the public. We also developed a mass submission tool to cope with a large quantity of data. In addition, to provide genome data on WWW, we developed a genome information system using Java. This system (http://mol.genes.nig.ac.jp/ecoli/) can in theory be used for any genome sequence data. These activities will facilitate processing of large quantities of EST and genome data.     

GEO-基因表达综合数据库的应用与数据挖掘

高通量微阵列杂交技术和测序技术的快速发展,产生了大量的基因数据,生物信息迅速膨胀成为数据的海洋。为适应这种高通量基因表达数据的不断增长和人们共享数据的需要,各种数据库应用而生,其中,NCBI（national center for biotechnology information）的基因表达综合数据库（gene expression omnibus,GEO）是世界上最大的储存高通量分子丰度数据的公共数据库,用户可以提交、储存和检索多种形式的数据并免费使用。迄今为止,GEO已收录了300000个样本的数据,涉及16亿个基因表达丰度数据,涵盖500多种生物体,广泛覆盖各种生物学内容。GEO数据库操作简单,数据全面,免费共享的优势为后期数据挖掘和信息推广提供了良好的平台。文章概述了GEO数据库的结构、数据的提交、检索和其在分子生物学领域中的应用前景。登陆GEO数据库的网址为：http：／／www．ncbi．nlm．nih．gov／geo。     

DraGnET: Software for storing,managing and analyzing annotated draft genome sequence data

Background  

New "next generation" DNA sequencing technologies offer individual researchers the ability to rapidly generate large amounts of genome sequence data at dramatically reduced costs. As a result, a need has arisen for new software tools for storage, management and analysis of genome sequence data. Although bioinformatic tools are available for the analysis and management of genome sequences, limitations still remain. For example, restrictions on the submission of data and use of these tools may be imposed, thereby making them unsuitable for sequencing projects that need to remain in-house or proprietary during their initial stages. Furthermore, the availability and use of next generation sequencing in industrial, governmental and academic environments requires biologist to have access to computational support for the curation and analysis of the data generated; however, this type of support is not always immediately available.     

Plant-based microarray data at the European Bioinformatics Institute. Introducing AtMIAMExpress, a submission tool for Arabidopsis gene expression data to ArrayExpress

ArrayExpress is a public microarray repository founded on the Minimum Information About a Microarray Experiment (MIAME) principles that stores MIAME-compliant gene expression data. Plant-based data sets represent approximately one-quarter of the experiments in ArrayExpress. The majority are based on Arabidopsis (Arabidopsis thaliana); however, there are other data sets based on Triticum aestivum, Hordeum vulgare, and Populus subsp. AtMIAMExpress is an open-source Web-based software application for the submission of Arabidopsis-based microarray data to ArrayExpress. AtMIAMExpress exports data in MAGE-ML format for upload to any MAGE-ML-compliant application, such as J-Express and ArrayExpress. It was designed as a tool for users with minimal bioinformatics expertise, has comprehensive help and user support, and represents a simple solution to meeting the MIAME guidelines for the Arabidopsis community. Plant data are queryable both in ArrayExpress and in the Data Warehouse databases, which support queries based on gene-centric and sample-centric annotation. The AtMIAMExpress submission tool is available at http://www.ebi.ac.uk/at-miamexpress/. The software is open source and is available from http://sourceforge.net/projects/miamexpress/. For information, contact miamexpress@ebi.ac.uk.     

Exploring massive, genome scale datasets with the GenometriCorr package

We have created a statistically grounded tool for determining the correlation of genomewide data with other datasets or known biological features, intended to guide biological exploration of high-dimensional datasets, rather than providing immediate answers. The software enables several biologically motivated approaches to these data and here we describe the rationale and implementation for each approach. Our models and statistics are implemented in an R package that efficiently calculates the spatial correlation between two sets of genomic intervals (data and/or annotated features), for use as a metric of functional interaction. The software handles any type of pointwise or interval data and instead of running analyses with predefined metrics, it computes the significance and direction of several types of spatial association; this is intended to suggest potentially relevant relationships between the datasets. AVAILABILITY AND IMPLEMENTATION: The package, GenometriCorr, can be freely downloaded at http://genometricorr.sourceforge.net/. Installation guidelines and examples are available from the sourceforge repository. The package is pending submission to Bioconductor.     

FDA regulation of allogeneic islets as a biological product

This article describes the Food and Drug Administration’s recent manufacturing review experience with investigational new drug applications submitted for allogeneic pancreatic islets of Langerhans for the treatment of type 1 diabetes mellitus. In addition, considerations of islet preparation issues that will need to be resolved before the submission of a biologics license application are discussed.     

Risk-Based Corrective Action of Hydrocarbon Contamination at a Former Major Urban Petroleum Storage Site in the U.K.

The former site of a major petroleum storage facility adjacent to a major urban watercourse was found to have potentially significant concentrations of hydrocarbons in soil and groundwater that needed to be addressed prior to redevelopment. A series of intrusive investigations were undertaken to collect physical and chemical data for a Quantitative Risk Assessment (QRA) of potential impacts on human health and the wider environment, in order to derive a remedial strategy for redevelopment of the site for light industrial use. A site-specific QRA methodology was devel oped using both U.K. and U.S. guidance to produce Risk-Based Clean-up Levels (RBCLs) for benzene, and other petroleum hydrocarbons. The U.K. has no nationally based guidance on risk assessment and studies are designed by the consultant for submission to the U.K. Environment Agency (EA) for their approval. It is the EA's role to determine whether the work has been undertaken satisfactorily. To achieve these RBCLs, ex situ bioremediation was identified as the best practicable remedial option. This was carried out in windrows using mechanical aeration (to achieve oxygenation with ammonia nitrate granule and woodchip addition) for a total of approximately 5291?m³ of soil. The bioremediation process was successful in achieving the site specific RBCLs for benzene and for other hydrocarbons within an average of 5 to 6 weeks. This article describes the successful implementation of Risk-Based Corrective Action (RBCA) at this petroleum release site as a demonstration of how risk-based remedial standards for contaminated sites can be achieved with regulatory approval.     

When should signals of submission be given?-A game theory model

During contests, losing animals often show signals communicating submission. From an evolutionary viewpoint, however, it is not so obvious why the losing individual gives such a signal instead of running away and why the winning individual accepts the signal instead of inflicting more severe damage. We investigated factors influencing the evolution of signals of submission using a numerical ESS model. The present analysis reveals that there is much space for the evolution of signals of submission, even when the winner of an escalated contest gets some extra benefit. In most cases, signals of submission are given by animals which are slightly or moderately weaker than the opponent. Signals of submission are expected to occur frequently (1) when the value of contested resource does not differ greatly from the cost of injury, (2) when the extra benefit of winning an escalated contest is small, (3) when the opportunity for safe retreat by the losing animal is small, and (4) when the estimation of the difference in the resource holding potential (RHP) between the combatants is accurate but not perfect.     

EMBL-Align: a new public nucleotide and amino acid multiple sequence alignment database

The submission of multiple sequence alignment data to EMBL has grown 30-fold in the past 10 years, creating a problem of archiving them. The EBI has developed a new public database of multiple sequence alignments called EMBL-Align. It has a dedicated web-based submission tool, Webin-Align. Together they represent a comprehensive data management solution for alignment data. Webin-Align accepts all the common alignment formats and can display data in CLUSTALW format as well as a new standard EMBL-Align flat file format. The alignments are stored in the EMBL-Align database and can be queried from the EBI SRS (Sequence Retrieval System) server. AVAILABILITY: Webin-Align: http://www.ebi.ac.uk/embl/Submission/align_top.html, EMBL-Align: ftp://ftp.ebi.ac.uk/pub/databases/embl/align, http://srs.ebi.ac.uk/