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  1. The ability to detect nuclei in embryos is essential for studying the development of multicellular organisms. A system of automated nuclear detection has already been tested on a set of four-dimensional (4D) N...

    Authors: Shugo Hamahashi, Shuichi Onami and Hiroaki Kitano
    Citation: BMC Bioinformatics 2005 6:125
  2. Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We participated in Task 2, which addressed a...

    Authors: Simon B Rice, Goran Nenadic and Benjamin J Stapley
    Citation: BMC Bioinformatics 2005 6(Suppl 1):S22

    This article is part of a Supplement: Volume 6 Supplement 1

  3. We participated in the BioCreAtIvE Task 2, which addressed the annotation of proteins into the Gene Ontology (GO) based on the text of a given document and the selection of evidence text from the document just...

    Authors: Karin Verspoor, Judith Cohn, Cliff Joslyn, Sue Mniszewski, Andreas Rechtsteiner, Luis M Rocha and Tiago Simas
    Citation: BMC Bioinformatics 2005 6(Suppl 1):S20

    This article is part of a Supplement: Volume 6 Supplement 1

  4. Molecular Biology accumulated substantial amounts of data concerning functions of genes and proteins. Information relating to functional descriptions is generally extracted manually from textual data and store...

    Authors: Christian Blaschke, Eduardo Andres Leon, Martin Krallinger and Alfonso Valencia
    Citation: BMC Bioinformatics 2005 6(Suppl 1):S16

    This article is part of a Supplement: Volume 6 Supplement 1

  5. In task 1A of the BioCreAtIvE evaluation, systems had to be devised that recognize words and phrases forming gene or protein names in natural language sentences. We approach this problem by building a word cla...

    Authors: Jörg Hakenberg, Steffen Bickel, Conrad Plake, Ulf Brefeld, Hagen Zahn, Lukas Faulstich, Ulf Leser and Tobias Scheffer
    Citation: BMC Bioinformatics 2005 6(Suppl 1):S9

    This article is part of a Supplement: Volume 6 Supplement 1

  6. The biological research literature is a major repository of knowledge. As the amount of literature increases, it will get harder to find the information of interest on a particular topic. There has been an inc...

    Authors: Alexander Yeh, Alexander Morgan, Marc Colosimo and Lynette Hirschman
    Citation: BMC Bioinformatics 2005 6(Suppl 1):S2

    This article is part of a Supplement: Volume 6 Supplement 1

  7. The availability of the human genome sequence as well as the large number of physically accessible oligonucleotides, cDNA, and BAC clones across the entire genome has triggered and accelerated the use of sever...

    Authors: Björn Menten, Filip Pattyn, Katleen De Preter, Piet Robbrecht, Evi Michels, Karen Buysse, Geert Mortier, Anne De Paepe, Steven van Vooren, Joris Vermeesch, Yves Moreau, Bart De Moor, Stefan Vermeulen, Frank Speleman and Jo Vandesompele
    Citation: BMC Bioinformatics 2005 6:124
  8. Sequence comparison by alignment is a fundamental tool of molecular biology. In this paper we show how a number of sequence comparison tasks, including the detection of unique genomic regions, can be accomplis...

    Authors: Bernhard Haubold, Nora Pierstorff, Friedrich Möller and Thomas Wiehe
    Citation: BMC Bioinformatics 2005 6:123
  9. Searching for approximate patterns in large promoter sequences frequently produces an exceedingly high numbers of results. Our aim was to exploit biological knowledge for definition of a sheltered search space...

    Authors: Stefania Bortoluzzi, Alessandro Coppe, Andrea Bisognin, Cinzia Pizzi and Gian Antonio Danieli
    Citation: BMC Bioinformatics 2005 6:121
  10. Many complex random networks have been found to be scale-free. Existing literature on scale-free networks has rarely considered potential false positive and false negative links in the observed networks, espec...

    Authors: Nan Lin and Hongyu Zhao
    Citation: BMC Bioinformatics 2005 6:119
  11. Computational biologists use Expectation values (E-values) to estimate the number of solutions that can be expected by chance during a database scan. Here we focus on computing Expectation values for RNA motif...

    Authors: André Lambert, Matthieu Legendre, Jean-Fred Fontaine and Daniel Gautheret
    Citation: BMC Bioinformatics 2005 6:118
  12. Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectral content of a given time series. The exa...

    Authors: Miika Ahdesmäki, Harri Lähdesmäki, Ron Pearson, Heikki Huttunen and Olli Yli-Harja
    Citation: BMC Bioinformatics 2005 6:117
  13. The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determine which clustering algorithm is most appro...

    Authors: Matthew A Hibbs, Nathaniel C Dirksen, Kai Li and Olga G Troyanskaya
    Citation: BMC Bioinformatics 2005 6:115
  14. With microarray technology the expression of thousands of genes can be measured simultaneously. It is well known that the expression levels of genes of interacting proteins are correlated significantly more st...

    Authors: Andreas Hahn, Jörg Rahnenführer, Priti Talwar and Thomas Lengauer
    Citation: BMC Bioinformatics 2005 6:112
  15. Understanding transcriptional regulation of gene expression is one of the greatest challenges of modern molecular biology. A central role in this mechanism is played by transcription factors, which typically b...

    Authors: D Corà, C Herrmann, C Dieterich, F Di Cunto, P Provero and M Caselle
    Citation: BMC Bioinformatics 2005 6:110
  16. This paper addresses the problem of recognising DNA cis-regulatory modules which are located far from genes. Experimental procedures for this are slow and costly, and computational methods are hard, because th...

    Authors: Irina Abnizova, Rene te Boekhorst, Klaudia Walter and Walter R Gilks
    Citation: BMC Bioinformatics 2005 6:109
  17. Comparison of data produced on different microarray platforms often shows surprising discordance. It is not clear whether this discrepancy is caused by noisy data or by improper probe matching between platform...

    Authors: Scott L Carter, Aron C Eklund, Brigham H Mecham, Isaac S Kohane and Zoltan Szallasi
    Citation: BMC Bioinformatics 2005 6:107
  18. Cluster analyses are used to analyze microarray time-course data for gene discovery and pattern recognition. However, in general, these methods do not take advantage of the fact that time is a continuous varia...

    Authors: Hua Liu, Sergey Tarima, Aaron S Borders, Thomas V Getchell, Marilyn L Getchell and Arnold J Stromberg
    Citation: BMC Bioinformatics 2005 6:106
  19. G- Protein coupled receptors (GPCRs) comprise the largest group of eukaryotic cell surface receptors with great pharmacological interest. A broad range of native ligands interact and activate GPCRs, leading to...

    Authors: Nikolaos G Sgourakis, Pantelis G Bagos, Panagiotis K Papasaikas and Stavros J Hamodrakas
    Citation: BMC Bioinformatics 2005 6:104
  20. Microarray analysis has become a widely used technique for the study of gene-expression patterns on a genomic scale. As more and more laboratories are adopting microarray technology, there is a need for powerf...

    Authors: Michael Maurer, Robert Molidor, Alexander Sturn, Juergen Hartler, Hubert Hackl, Gernot Stocker, Andreas Prokesch, Marcel Scheideler and Zlatko Trajanoski
    Citation: BMC Bioinformatics 2005 6:101
  21. To facilitate efficient selection and the prioritization of candidate complex disease susceptibility genes for association analysis, increasingly comprehensive annotation tools are essential to integrate, visu...

    Authors: Judith E Stenger, Hong Xu, Carol Haynes, Elizabeth R Hauser, Margaret Pericak-Vance, Pascal J Goldschmidt-Clermont and Jeffery M Vance
    Citation: BMC Bioinformatics 2005 6:95
  22. Recent advances in sequencing techniques leading to cost reduction have resulted in the generation of a growing number of sequenced eukaryotic genomes. Computational tools greatly assist in defining open readi...

    Authors: Nicole Donofrio, Ravi Rajagopalon, Douglas Brown, Stephen Diener, Donald Windham, Shelly Nolin, Anna Floyd, Thomas Mitchell, Natalia Galadima, Sara Tucker, Marc J Orbach, Gayatri Patel, Mark Farman, Vishal Pampanwar, Cari Soderlund, Yong-Hwan Lee…
    Citation: BMC Bioinformatics 2005 6:94
  23. BLAST is one of the most common and useful tools for Genetic Research. This paper describes a software application we have termed Windows .NET Distributed Basic Local Alignment Search Toolkit (W.ND-BLAST), whi...

    Authors: Scot E Dowd, Joaquin Zaragoza, Javier R Rodriguez, Melvin J Oliver and Paxton R Payton
    Citation: BMC Bioinformatics 2005 6:93
  24. We have developed the program PERMOL for semi-automated homology modeling of proteins. It is based on restrained molecular dynamics using a simulated annealing protocol in torsion angle space. As main restrain...

    Authors: Andreas Möglich, Daniel Weinfurtner, Till Maurer, Wolfram Gronwald and Hans Robert Kalbitzer
    Citation: BMC Bioinformatics 2005 6:91
  25. Most current DNA diagnostic tests for identifying organisms use specific oligonucleotide probes that are complementary in sequence to, and hence only hybridise with the DNA of one target species. By contrast, ...

    Authors: Mark J Gibbs, John S Armstrong and Adrian J Gibbs
    Citation: BMC Bioinformatics 2005 6:90
  26. Computational methods for problem solving need to interleave information access and algorithm execution in a problem-specific workflow. The structures of these workflows are defined by a scaffold of syntactic, se...

    Authors: Alexander Garcia Castro, Samuel Thoraval, Leyla J Garcia and Mark A Ragan
    Citation: BMC Bioinformatics 2005 6:87
  27. Many efforts in microarray data analysis are focused on providing tools and methods for the qualitative analysis of microarray data. HDBStat! (High-Dimensional Biology-Statistics) is a software package designe...

    Authors: Prinal Trivedi, Jode W Edwards, Jelai Wang, Gary L Gadbury, Vinodh Srinivasasainagendra, Stanislav O Zakharkin, Kyoungmi Kim, Tapan Mehta, Jacob PL Brand, Amit Patki, Grier P Page and David B Allison
    Citation: BMC Bioinformatics 2005 6:86
  28. Array CGH (Comparative Genomic Hybridisation) is a molecular cytogenetic technique for the genome wide detection of chromosomal imbalances. It is based on the co-hybridisation of differentially labelled test a...

    Authors: Wei Chen, Fikret Erdogan, H-Hilger Ropers, Steffen Lenzner and Reinhard Ullmann
    Citation: BMC Bioinformatics 2005 6:85
  29. Transcription factor binding site (TFBS) prediction is a difficult problem, which requires a good scoring function to discriminate between real binding sites and background noise. Many scoring functions have b...

    Authors: Markus Friberg, Peter von Rohr and Gaston Gonnet
    Citation: BMC Bioinformatics 2005 6:84
  30. Two central problems in computational biology are the determination of the alignment and phylogeny of a set of biological sequences. The traditional approach to this problem is to first build a multiple alignm...

    Authors: Gerton Lunter, István Miklós, Alexei Drummond, Jens Ledet Jensen and Jotun Hein
    Citation: BMC Bioinformatics 2005 6:83
  31. Detection of sequence homologues represents a challenging task that is important for the discovery of protein families and the reliable application of automatic annotation methods. The presence of domains in p...

    Authors: Igor V Tetko, Axel Facius, Andreas Ruepp and Hans-Werner Mewes
    Citation: BMC Bioinformatics 2005 6:82
  32. There are currently a number of competing techniques for low-level processing of oligonucleotide array data. The choice of technique has a profound effect on subsequent statistical analyses, but there is no me...

    Authors: Alexander Ploner, Lance D Miller, Per Hall, Jonas Bergh and Yudi Pawitan
    Citation: BMC Bioinformatics 2005 6:80

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