Skip to main content

Articles

Page 195 of 247

  1. The power of haplotype-based methods for association studies, identification of regions under selection, and ancestral inference, is well-established for diploid organisms. For polyploids, however, the difficu...

    Authors: Shu-Yi Su, Jonathan White, David J Balding and Lachlan JM Coin
    Citation: BMC Bioinformatics 2008 9:513
  2. Large biological data sets, such as expression profiles, benefit from reduction of random noise. Principal component (PC) analysis has been used for this purpose, but it tends to remove small features as well ...

    Authors: Joseph W Foley and Fumiaki Katagiri
    Citation: BMC Bioinformatics 2008 9:508
  3. One-dimensional (1D) 1H nuclear magnetic resonance (NMR) spectroscopy is widely used in metabolomic studies involving biofluids and tissue extracts. There are several software packages that support compound ident...

    Authors: Jianguo Xia, Trent C Bjorndahl, Peter Tang and David S Wishart
    Citation: BMC Bioinformatics 2008 9:507
  4. High-throughput microarrays are widely used to study gene expression across tissues and developmental stages. Analysis of gene expression data is challenging in these experiments due to the presence of signifi...

    Authors: Terri T Ni, William J Lemon, Yu Shyr and Tao P Zhong
    Citation: BMC Bioinformatics 2008 9:505
  5. Liquid chromatography coupled to mass spectrometry (LC/MS) is an important analytical technology for e.g. metabolomics experiments. Determining the boundaries, centres and intensities of the two-dimensional si...

    Authors: Ralf Tautenhahn, Christoph Böttcher and Steffen Neumann
    Citation: BMC Bioinformatics 2008 9:504
  6. There is accumulating evidence that the milieu of repeat elements and other non-genic sequence features at a given chromosomal locus, here defined as the genome environment, can play an important role in regul...

    Authors: Derek Huntley, Y Amy Tang, Tatyana B Nesterova, Sarah Butcher and Neil Brockdorff
    Citation: BMC Bioinformatics 2008 9:501
  7. Post translational modifications (PTMs) occur in the vast majority of proteins and are essential for function. Prediction of the sequence location of PTMs enhances the functional characterisation of proteins. ...

    Authors: Stephen E Hamby and Jonathan D Hirst
    Citation: BMC Bioinformatics 2008 9:500
  8. One of the greatest challenges in Metabolic Engineering is to develop quantitative models and algorithms to identify a set of genetic manipulations that will result in a microbial strain with a desirable metab...

    Authors: Miguel Rocha, Paulo Maia, Rui Mendes, José P Pinto, Eugénio C Ferreira, Jens Nielsen, Kiran Raosaheb Patil and Isabel Rocha
    Citation: BMC Bioinformatics 2008 9:499
  9. The recent availability of complete sequences for numerous closely related bacterial genomes opens up new challenges in comparative genomics. Several methods have been developed to align complete genomes at th...

    Authors: Hélène Chiapello, Annie Gendrault, Christophe Caron, Jérome Blum, Marie-Agnès Petit and Meriem El Karoui
    Citation: BMC Bioinformatics 2008 9:498
  10. The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have proposed new clustering methods that take advant...

    Authors: Marcilio CP de Souto, Ivan G Costa, Daniel SA de Araujo, Teresa B Ludermir and Alexander Schliep
    Citation: BMC Bioinformatics 2008 9:497
  11. Molecular typing methods are commonly used to study genetic relationships among bacterial isolates. Many of these methods have become standardized and produce portable data. A popular approach for analyzing su...

    Authors: Josephine F Reyes, Andrew R Francis and Mark M Tanaka
    Citation: BMC Bioinformatics 2008 9:496
  12. The identification of transcription factor binding sites is difficult since they are only a small number of nucleotides in size, resulting in large numbers of false positives and false negatives in current app...

    Authors: Matthew S Hestand, Michiel van Galen, Michel P Villerius, Gert-Jan B van Ommen, Johan T den Dunnen and Peter AC 't Hoen
    Citation: BMC Bioinformatics 2008 9:495
  13. Some splicing isoform-specific transcriptional regulations are related to disease. Therefore, detection of disease specific splice variations is the first step for finding disease specific transcriptional regu...

    Authors: Kazuyuki Numata, Ryo Yoshida, Masao Nagasaki, Ayumu Saito, Seiya Imoto and Satoru Miyano
    Citation: BMC Bioinformatics 2008 9:494
  14. Microarray experimentation requires the application of complex analysis methods as well as the use of non-trivial computer technologies to manage the resultant large data sets. This, together with the prolifer...

    Authors: G Barton, J Abbott, N Chiba, DW Huang, Y Huang, M Krznaric, J Mack-Smith, A Saleem, BT Sherman, B Tiwari, C Tomlinson, T Aitman, J Darlington, L Game, MJE Sternberg and SA Butcher
    Citation: BMC Bioinformatics 2008 9:493
  15. DNA microarrays, which determine the expression levels of tens of thousands of genes from a sample, are an important research tool. However, the volume of data they produce can be an obstacle to interpretation...

    Authors: Alexander L Richards, Peter Holmans, Michael C O'Donovan, Michael J Owen and Lesley Jones
    Citation: BMC Bioinformatics 2008 9:490
  16. In microarray experiments the numbers of replicates are often limited due to factors such as cost, availability of sample or poor hybridization. There are currently few choices for the analysis of a pair of mi...

    Authors: Robert W Reid and Anthony A Fodor
    Citation: BMC Bioinformatics 2008 9:489
  17. Indexing is a crucial step in any information retrieval system. In MEDLINE, a widely used database of the biomedical literature, the indexing process involves the selection of Medical Subject Headings in order to...

    Authors: Aurélie Névéol, Sonya E Shooshan and Vincent Claveau
    Citation: BMC Bioinformatics 2008 9(Suppl 11):S11

    This article is part of a Supplement: Volume 9 Supplement 11

  18. Due to the nature of scientific methodology, research articles are rich in speculative and tentative statements, also known as hedges. We explore a linguistically motivated approach to the problem of recognizi...

    Authors: Halil Kilicoglu and Sabine Bergler
    Citation: BMC Bioinformatics 2008 9(Suppl 11):S10

    This article is part of a Supplement: Volume 9 Supplement 11

  19. Detecting uncertain and negative assertions is essential in most BioMedical Text Mining tasks where, in general, the aim is to derive factual knowledge from textual data. This article reports on a corpus annot...

    Authors: Veronika Vincze, György Szarvas, Richárd Farkas, György Móra and János Csirik
    Citation: BMC Bioinformatics 2008 9(Suppl 11):S9

    This article is part of a Supplement: Volume 9 Supplement 11

  20. Previous studies of named entity recognition have shown that a reasonable level of recognition accuracy can be achieved by using machine learning models such as conditional random fields or support vector mach...

    Authors: Yoshimasa Tsuruoka, Jun'ichi Tsujii and Sophia Ananiadou
    Citation: BMC Bioinformatics 2008 9(Suppl 11):S8

    This article is part of a Supplement: Volume 9 Supplement 11

  21. Like text in other domains, biomedical documents contain a range of terms with more than one possible meaning. These ambiguities form a significant obstacle to the automatic processing of biomedical texts. Pre...

    Authors: Mark Stevenson, Yikun Guo, Robert Gaizauskas and David Martinez
    Citation: BMC Bioinformatics 2008 9(Suppl 11):S7

    This article is part of a Supplement: Volume 9 Supplement 11

  22. Term identification is the task of grounding ambiguous mentions of biomedical named entities in text to unique database identifiers. Previous work on term identification has focused on studying species-specifi...

    Authors: Xinglong Wang and Michael Matthews
    Citation: BMC Bioinformatics 2008 9(Suppl 11):S6

    This article is part of a Supplement: Volume 9 Supplement 11

  23. When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological resources are available. Many researches on stati...

    Authors: Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught and Sophia Ananiadou
    Citation: BMC Bioinformatics 2008 9(Suppl 11):S5

    This article is part of a Supplement: Volume 9 Supplement 11

  24. The Clinical E-Science Framework (CLEF) project has built a system to extract clinically significant information from the textual component of medical records in order to support clinical research, evidence-ba...

    Authors: Angus Roberts, Robert Gaizauskas, Mark Hepple and Yikun Guo
    Citation: BMC Bioinformatics 2008 9(Suppl 11):S3

    This article is part of a Supplement: Volume 9 Supplement 11

  25. Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach for this task. In contrast to earlier appr...

    Authors: Antti Airola, Sampo Pyysalo, Jari Björne, Tapio Pahikkala, Filip Ginter and Tapio Salakoski
    Citation: BMC Bioinformatics 2008 9(Suppl 11):S2

    This article is part of a Supplement: Volume 9 Supplement 11

  26. An important emerging trend in the analysis of microarray data is to incorporate known pathway information a priori. Expression level "summaries" for pathways, obtained from the expression data for the genes c...

    Authors: Rosemary Braun, Leslie Cope and Giovanni Parmigiani
    Citation: BMC Bioinformatics 2008 9:488
  27. By using a standard Support Vector Machine (SVM) with a Sequential Minimal Optimization (SMO) method of training, Naïve Bayes and other machine learning algorithms we are able to distinguish between two classe...

    Authors: Myron Peto, Andrzej Kloczkowski, Vasant Honavar and Robert L Jernigan
    Citation: BMC Bioinformatics 2008 9:487
  28. Large-scale compilation of gene expression microarray datasets across diverse biological phenotypes provided a means of gathering a priori knowledge in the form of identification and annotation of bimodal gene...

    Authors: Michael Gormley and Aydin Tozeren
    Citation: BMC Bioinformatics 2008 9:486
  29. The rate of mRNA transcription is controlled by transcription factors that bind to specific DNA motifs in promoter regions upstream of protein coding genes. Recent results indicate that not only the presence o...

    Authors: Jakub Orzechowski Westholm, Feifei Xu, Hans Ronne and Jan Komorowski
    Citation: BMC Bioinformatics 2008 9:484
  30. For the past few years, scientific controversy has surrounded the large number of errors in forensic and literature mitochondrial DNA (mtDNA) data. However, recent research has shown that using mtDNA phylogeny...

    Authors: Hwan Young Lee, Injee Song, Eunho Ha, Sung-Bae Cho, Woo Ick Yang and Kyoung-Jin Shin
    Citation: BMC Bioinformatics 2008 9:483
  31. Recently, microarray data analyses using functional pathway information, e.g., gene set enrichment analysis (GSEA) and significance analysis of function and expression (SAFE), have gained recognition as a way ...

    Authors: Rongheng Lin, Shuangshuang Dai, Richard D Irwin, Alexandra N Heinloth, Gary A Boorman and Leping Li
    Citation: BMC Bioinformatics 2008 9:481
  32. Microarray techniques are one of the main methods used to investigate thousands of gene expression profiles for enlightening complex biological processes responsible for serious diseases, with a great scientif...

    Authors: Luca Corradi, Marco Fato, Ivan Porro, Silvia Scaglione and Livia Torterolo
    Citation: BMC Bioinformatics 2008 9:480
  33. Alternative splicing is a major contributor to the diversity of eukaryotic transcriptomes and proteomes. Currently, large scale detection of alternative splicing using expressed sequence tags (ESTs) or microar...

    Authors: Rileen Sinha, Michael Hiller, Rainer Pudimat, Ulrike Gausmann, Matthias Platzer and Rolf Backofen
    Citation: BMC Bioinformatics 2008 9:477
  34. The prediction of a consensus structure for a set of related RNAs is an important first step for subsequent analyses. RNAalifold, which computes the minimum energy structure that is simultaneously formed by a ...

    Authors: Stephan H Bernhart, Ivo L Hofacker, Sebastian Will, Andreas R Gruber and Peter F Stadler
    Citation: BMC Bioinformatics 2008 9:474
  35. The epidermal physiology results from a complex regulated homeostasis of keratinocyte proliferation, differentiation and death and is tightly regulated by a specific protein expression during cellular maturati...

    Authors: Thora Pommerencke, Thorsten Steinberg, Hartmut Dickhaus, Pascal Tomakidi and Niels Grabe
    Citation: BMC Bioinformatics 2008 9:473
  36. Researchers interested in analysing the expression patterns of functionally related genes usually hope to improve the accuracy of their results beyond the boundaries of currently available experimental data. G...

    Authors: Tao Xu, LinFang Du and Yan Zhou
    Citation: BMC Bioinformatics 2008 9:472
  37. Metabolomics, or metabonomics, refers to the quantitative analysis of all metabolites present within a biological sample and is generally carried out using NMR spectroscopy or Mass Spectrometry. Such analysis ...

    Authors: Kenneth Bryan, Lorraine Brennan and Pádraig Cunningham
    Citation: BMC Bioinformatics 2008 9:470

Featured videos

View featured videos from across the BMC-series journals

Annual Journal Metrics

  • 2022 Citation Impact
    3.0 - 2-year Impact Factor
    4.3 - 5-year Impact Factor
    0.938 - SNIP (Source Normalized Impact per Paper)
    1.100 - SJR (SCImago Journal Rank)

    2023 Speed
    19 days submission to first editorial decision for all manuscripts (Median)
    146 days submission to accept (Median)

    2023 Usage
    5,987,678 downloads
    4,858 Altmetric mentions 

Sign up for article alerts and news from this journal