Improving interoperability between microbial information and sequence databases.

Abstract:

BACKGROUND:Biological resources are essential tools for biomedical research. Their availability is promoted through on-line catalogues. Common Access to Biological Resources and Information (CABRI) is a service for distribution of biological resources and related data collected by 28 European culture collections. Linking this information to bioinformatics databanks can make the collections' holdings more visible after a search in molecular biology databanks and vice-versa. Identification of links to sequence databases can be useful, but annotation and indexing problems, together with compilation errors, immediately arise. In this paper, we present our efforts for the identification of cross-references between CABRI catalogues and the EMBL Data Library and related results. RESULTS:An SRS site with both EMBL and CABRI catalogues has been set up. Ad-hoc changes in indexing scripts allowed to achieve homogeneous index keys and SRS link features have been used to identify links between databases. After manual checking and comparison with an alternative procedure, about 67,500 valid cross-references were identified, added to the EMBL Data Library and are now distributed with it. HTML links can be established from EMBL to CABRI network service. Procedures can be executed whenever needed. CONCLUSION:Links between EMBL and CABRI catalogues constitute an improved access to micro-organisms of certified quality and can produce positive effects on biomedical research. Further links between CABRI catalogues and other bioinformatics databases can now easily be defined by using these cross-references. Linking genetic information onto natural resources information may stand model for the integration of other databases containing empirical data on these materials.

journal_name

BMC Bioinformatics

journal_title

BMC bioinformatics

authors

Romano P,Dawyndt P,Piersigilli F,Swings J

doi

10.1186/1471-2105-6-S4-S23

keywords:

subject

Has Abstract

pub_date

2005-12-01 00:00:00

pages

S23

issn

1471-2105

pii

1471-2105-6-S4-S23

journal_volume

6 Suppl 4

pub_type

杂志文章
  • Identifying module biomarker in type 2 diabetes mellitus by discriminative area of functional activity.

    abstract:BACKGROUND:Identifying diagnosis and prognosis biomarkers from expression profiling data is of great significance for achieving personalized medicine and designing therapeutic strategy in complex diseases. However, the reproducibility of identified biomarkers across tissues and experiments is still a challenge for this...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-015-0519-y

    authors: Zhang X,Gao L,Liu ZP,Chen L

    更新日期:2015-03-18 00:00:00

  • RocSampler: regularizing overlapping protein complexes in protein-protein interaction networks.

    abstract:BACKGROUND:In recent years, protein-protein interaction (PPI) networks have been well recognized as important resources to elucidate various biological processes and cellular mechanisms. In this paper, we address the problem of predicting protein complexes from a PPI network. This problem has two difficulties. One is r...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1920-5

    authors: Maruyama O,Kuwahara Y

    更新日期:2017-12-06 00:00:00

  • Simple adjustment of the sequence weight algorithm remarkably enhances PSI-BLAST performance.

    abstract:BACKGROUND:PSI-BLAST, an extremely popular tool for sequence similarity search, features the utilization of Position-Specific Scoring Matrix (PSSM) constructed from a multiple sequence alignment (MSA). PSSM allows the detection of more distant homologs than a general amino acid substitution matrix does. An accurate est...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1686-9

    authors: Oda T,Lim K,Tomii K

    更新日期:2017-06-02 00:00:00

  • OmniMapFree: a unified tool to visualise and explore sequenced genomes.

    abstract:UNLABELLED: BACKGROUND:Acquiring and exploring whole genome sequence information for a species under investigation is now a routine experimental approach. On most genome browsers, typically, only the DNA sequence, EST support, motif search results, and GO annotations are displayed. However, for many species, a growing...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-447

    authors: Antoniw J,Beacham AM,Baldwin TK,Urban M,Rudd JJ,Hammond-Kosack KE

    更新日期:2011-11-15 00:00:00

  • Statistical assessment and visualization of synergies for large-scale sparse drug combination datasets.

    abstract:BACKGROUND:Drug combinations have the potential to improve efficacy while limiting toxicity. To robustly identify synergistic combinations, high-throughput screens using full dose-response surface are desirable but require an impractical number of data points. Screening of a sparse number of doses per drug allows to sc...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-2642-7

    authors: Amzallag A,Ramaswamy S,Benes CH

    更新日期:2019-02-18 00:00:00

  • Enhanced JBrowse plugins for epigenomics data visualization.

    abstract:BACKGROUND:New sequencing techniques require new visualization strategies, as is the case for epigenomics data such as DNA base modifications, small non-coding RNAs, and histone modifications. RESULTS:We present a set of plugins for the genome browser JBrowse that are targeted for epigenomics visualizations. Specifica...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2160-z

    authors: Hofmeister BT,Schmitz RJ

    更新日期:2018-04-25 00:00:00

  • A novel method to identify cooperative functional modules: study of module coordination in the Saccharomyces cerevisiae cell cycle.

    abstract:BACKGROUND:Identifying key components in biological processes and their associations is critical for deciphering cellular functions. Recently, numerous gene expression and molecular interaction experiments have been reported in Saccharomyces cerevisiae, and these have enabled systematic studies. Although a number of ap...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-281

    authors: Hsu JT,Peng CH,Hsieh WP,Lan CY,Tang CY

    更新日期:2011-07-12 00:00:00

  • Semantically linking molecular entities in literature through entity relationships.

    abstract:BACKGROUND:Text mining tools have gained popularity to process the vast amount of available research articles in the biomedical literature. It is crucial that such tools extract information with a sufficient level of detail to be applicable in real life scenarios. Studies of mining non-causal molecular relations attrib...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-13-S11-S6

    authors: Van Landeghem S,Björne J,Abeel T,De Baets B,Salakoski T,Van de Peer Y

    更新日期:2012-06-26 00:00:00

  • IPRStats: visualization of the functional potential of an InterProScan run.

    abstract:BACKGROUND:InterPro is a collection of protein signatures for the classification and automated annotation of proteins. Interproscan is a software tool that scans protein sequences against Interpro member databases using a variety of profile-based, hidden markov model and positional specific score matrix methods. It not...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-S12-S13

    authors: Kelly RJ,Vincent DE,Friedberg I

    更新日期:2010-12-21 00:00:00

  • TooT-T: discrimination of transport proteins from non-transport proteins.

    abstract:BACKGROUND:Membrane transport proteins (transporters) play an essential role in every living cell by transporting hydrophilic molecules across the hydrophobic membranes. While the sequences of many membrane proteins are known, their structure and function is still not well characterized and understood, owing to the imm...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-019-3311-6

    authors: Alballa M,Butler G

    更新日期:2020-04-23 00:00:00

  • GlyStruct: glycation prediction using structural properties of amino acid residues.

    abstract:BACKGROUND:Glycation is a one of the post-translational modifications (PTM) where sugar molecules and residues in protein sequences are covalently bonded. It has become one of the clinically important PTM in recent times attributed to many chronic and age related complications. Being a non-enzymatic reaction, it is a g...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2547-x

    authors: Reddy HM,Sharma A,Dehzangi A,Shigemizu D,Chandra AA,Tsunoda T

    更新日期:2019-02-04 00:00:00

  • iSeg: an efficient algorithm for segmentation of genomic and epigenomic data.

    abstract:BACKGROUND:Identification of functional elements of a genome often requires dividing a sequence of measurements along a genome into segments where adjacent segments have different properties, such as different mean values. Despite dozens of algorithms developed to address this problem in genomics research, methods with...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-018-2140-3

    authors: Girimurugan SB,Liu Y,Lung PY,Vera DL,Dennis JH,Bass HW,Zhang J

    更新日期:2018-04-11 00:00:00

  • FIGENIX: intelligent automation of genomic annotation: expertise integration in a new software platform.

    abstract:BACKGROUND:Two of the main objectives of the genomic and post-genomic era are to structurally and functionally annotate genomes which consists of detecting genes' position and structure, and inferring their function (as well as of other features of genomes). Structural and functional annotation both require the complex...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-6-198

    authors: Gouret P,Vitiello V,Balandraud N,Gilles A,Pontarotti P,Danchin EG

    更新日期:2005-08-05 00:00:00

  • Determining significance of pairwise co-occurrences of events in bursty sequences.

    abstract:BACKGROUND:Event sequences where different types of events often occur close together arise, e.g., when studying potential transcription factor binding sites (TFBS, events) of certain transcription factors (TF, types) in a DNA sequence. These events tend to occur in bursts: in some genomic regions there are more genes ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-9-336

    authors: Haiminen N,Mannila H,Terzi E

    更新日期:2008-08-08 00:00:00

  • Reduction strategies for hierarchical multi-label classification in protein function prediction.

    abstract:BACKGROUND:Hierarchical Multi-Label Classification is a classification task where the classes to be predicted are hierarchically organized. Each instance can be assigned to classes belonging to more than one path in the hierarchy. This scenario is typically found in protein function prediction, considering that each pr...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1232-1

    authors: Cerri R,Barros RC,P L F de Carvalho AC,Jin Y

    更新日期:2016-09-15 00:00:00

  • Performance of a genetic algorithm for mass spectrometry proteomics.

    abstract:BACKGROUND:Recently, mass spectrometry data have been mined using a genetic algorithm to produce discriminatory models that distinguish healthy individuals from those with cancer. This algorithm is the basis for claims of 100% sensitivity and specificity in two related publicly available datasets. To date, no detailed ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-5-180

    authors: Jeffries NO

    更新日期:2004-11-19 00:00:00

  • Web-TCGA: an online platform for integrated analysis of molecular cancer data sets.

    abstract:BACKGROUND:The Cancer Genome Atlas (TCGA) is a pool of molecular data sets publicly accessible and freely available to cancer researchers anywhere around the world. However, wide spread use is limited since an advanced knowledge of statistics and statistical software is required. RESULTS:In order to improve accessibil...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-0917-9

    authors: Deng M,Brägelmann J,Schultze JL,Perner S

    更新日期:2016-02-06 00:00:00

  • Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer.

    abstract:BACKGROUND:Phenotype prediction problems are usually considered ill-posed, as the amount of samples is very limited with respect to the scrutinized genetic probes. This fact complicates the sampling of the defective genetic pathways due to the high number of possible discriminatory genetic networks involved. In this re...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-020-3356-6

    authors: Cernea A,Fernández-Martínez JL,deAndrés-Galiana EJ,Fernández-Ovies FJ,Alvarez-Machancoses O,Fernández-Muñiz Z,Saligan LN,Sonis ST

    更新日期:2020-03-11 00:00:00

  • Survival Online: a web-based service for the analysis of correlations between gene expression and clinical and follow-up data.

    abstract:BACKGROUND:Complex microarray gene expression datasets can be used for many independent analyses and are particularly interesting for the validation of potential biomarkers and multi-gene classifiers. This article presents a novel method to perform correlations between microarray gene expression data and clinico-pathol...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-10-S12-S10

    authors: Corradi L,Mirisola V,Porro I,Torterolo L,Fato M,Romano P,Pfeffer U

    更新日期:2009-10-15 00:00:00

  • Toward an interactive article: integrating journals and biological databases.

    abstract:BACKGROUND:Journal articles and databases are two major modes of communication in the biological sciences, and thus integrating these critical resources is of urgent importance to increase the pace of discovery. Projects focused on bridging the gap between journals and databases have been on the rise over the last five...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-175

    authors: Rangarajan A,Schedl T,Yook K,Chan J,Haenel S,Otis L,Faelten S,DePellegrin-Connelly T,Isaacson R,Skrzypek MS,Marygold SJ,Stefancsik R,Cherry JM,Sternberg PW,Müller HM

    更新日期:2011-05-19 00:00:00

  • Network-based analysis of comorbidities risk during an infection: SARS and HIV case studies.

    abstract:BACKGROUND:Infections are often associated to comorbidity that increases the risk of medical conditions which can lead to further morbidity and mortality. SARS is a threat which is similar to MERS virus, but the comorbidity is the key aspect to underline their different impacts. One UK doctor says "I'd rather have HIV ...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-333

    authors: Moni MA,Liò P

    更新日期:2014-10-24 00:00:00

  • Predicting MoRFs in protein sequences using HMM profiles.

    abstract:BACKGROUND:Intrinsically Disordered Proteins (IDPs) lack an ordered three-dimensional structure and are enriched in various biological processes. The Molecular Recognition Features (MoRFs) are functional regions within IDPs that undergo a disorder-to-order transition on binding to a partner protein. Identifying MoRFs i...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-016-1375-0

    authors: Sharma R,Kumar S,Tsunoda T,Patil A,Sharma A

    更新日期:2016-12-22 00:00:00

  • Maximizing Kolmogorov Complexity for accurate and robust bright field cell segmentation.

    abstract:BACKGROUND:Analysis of cellular processes with microscopic bright field defocused imaging has the advantage of low phototoxicity and minimal sample preparation. However bright field images lack the contrast and nuclei reporting available with florescent approaches and therefore present a challenge to methods that segme...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-32

    authors: Mohamadlou H,Shope JC,Flann NS

    更新日期:2014-01-30 00:00:00

  • COMBINE archive and OMEX format: one file to share all information to reproduce a modeling project.

    abstract:BACKGROUND:With the ever increasing use of computational models in the biosciences, the need to share models and reproduce the results of published studies efficiently and easily is becoming more important. To this end, various standards have been proposed that can be used to describe models, simulations, data or other...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-014-0369-z

    authors: Bergmann FT,Adams R,Moodie S,Cooper J,Glont M,Golebiewski M,Hucka M,Laibe C,Miller AK,Nickerson DP,Olivier BG,Rodriguez N,Sauro HM,Scharm M,Soiland-Reyes S,Waltemath D,Yvon F,Le Novère N

    更新日期:2014-12-14 00:00:00

  • BicPAMS: software for biological data analysis with pattern-based biclustering.

    abstract:BACKGROUND:Biclustering has been largely applied for the unsupervised analysis of biological data, being recognised today as a key technique to discover putative modules in both expression data (subsets of genes correlated in subsets of conditions) and network data (groups of coherently interconnected biological entiti...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1493-3

    authors: Henriques R,Ferreira FL,Madeira SC

    更新日期:2017-02-02 00:00:00

  • Identification of exonic regions in DNA sequences using cross-correlation and noise suppression by discrete wavelet transform.

    abstract:BACKGROUND:The identification of protein coding regions (exons) in DNA sequences using signal processing techniques is an important component of bioinformatics and biological signal processing. In this paper, a new method is presented for the identification of exonic regions in DNA sequences. This method is based on th...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-12-430

    authors: Abbasi O,Rostami A,Karimian G

    更新日期:2011-11-03 00:00:00

  • Thresher: determining the number of clusters while removing outliers.

    abstract:BACKGROUND:Cluster analysis is the most common unsupervised method for finding hidden groups in data. Clustering presents two main challenges: (1) finding the optimal number of clusters, and (2) removing "outliers" among the objects being clustered. Few clustering algorithms currently deal directly with the outlier pro...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/s12859-017-1998-9

    authors: Wang M,Abrams ZB,Kornblau SM,Coombes KR

    更新日期:2018-01-08 00:00:00

  • Combining calls from multiple somatic mutation-callers.

    abstract:BACKGROUND:Accurate somatic mutation-calling is essential for insightful mutation analyses in cancer studies. Several mutation-callers are publicly available and more are likely to appear. Nonetheless, mutation-calling is still challenging and there is unlikely to be one established caller that systematically outperfor...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-15-154

    authors: Kim SY,Jacob L,Speed TP

    更新日期:2014-05-21 00:00:00

  • A simple method for assessing sample sizes in microarray experiments.

    abstract:BACKGROUND:In this short article, we discuss a simple method for assessing sample size requirements in microarray experiments. RESULTS:Our method starts with the output from a permutation-based analysis for a set of pilot data, e.g. from the SAM package. Then for a given hypothesized mean difference and various sample...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-7-106

    authors: Tibshirani R

    更新日期:2006-03-02 00:00:00

  • Protein network prediction and topological analysis in Leishmania major as a tool for drug target selection.

    abstract:BACKGROUND:Leishmaniasis is a virulent parasitic infection that causes a worldwide disease burden. Most treatments have toxic side-effects and efficacy has decreased due to the emergence of resistant strains. The outlook is worsened by the absence of promising drug targets for this disease. We have taken a computationa...

    journal_title:BMC bioinformatics

    pub_type: 杂志文章

    doi:10.1186/1471-2105-11-484

    authors: Flórez AF,Park D,Bhak J,Kim BC,Kuchinsky A,Morris JH,Espinosa J,Muskus C

    更新日期:2010-09-27 00:00:00