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  1. Laboratory techniques used to determine haplotypes are often too expensive for large-scale studies and lack of phase information is commonly overcome using likelihood-based calculations. Whereas a number of pr...

    Authors: Robert M Nowak and Rafał Płoski
    Citation: BMC Bioinformatics 2008 9:330
  2. Classification microarrays are used for purposes such as identifying strains of bacteria and determining genetic relationships to understand the epidemiology of an infectious disease. For these cases, mixed mi...

    Authors: Da Meng, Shira L Broschat and Douglas R Call
    Citation: BMC Bioinformatics 2008 9:328
  3. Real-time PCR analysis is a sensitive DNA quantification technique that has recently gained considerable attention in biotechnology, microbiology and molecular diagnostics. Although, the cycle-threshold (Ct) meth...

    Authors: Michele Guescini, Davide Sisti, Marco BL Rocchi, Laura Stocchi and Vilberto Stocchi
    Citation: BMC Bioinformatics 2008 9:326
  4. A better understanding of the mechanisms involved in gas-phase fragmentation of peptides is essential for the development of more reliable algorithms for high-throughput protein identification using mass spect...

    Authors: Cong Zhou, Lucas D Bowler and Jianfeng Feng
    Citation: BMC Bioinformatics 2008 9:325
  5. Testing for selection is becoming one of the most important steps in the analysis of multilocus population genetics data sets. Existing applications are difficult to use, leaving many non-trivial, error-prone ...

    Authors: Tiago Antao, Ana Lopes, Ricardo J Lopes, Albano Beja-Pereira and Gordon Luikart
    Citation: BMC Bioinformatics 2008 9:323
  6. GenBank flatfile (GBF) format is one of the most popular sequence file formats because of its detailed sequence features and ease of readability. To use the data in the file by a computer, a parsing process is...

    Authors: Tae-Ho Lee, Yeon-Ki Kim and Baek Hie Nahm
    Citation: BMC Bioinformatics 2008 9:321
  7. Cancer diagnosis and clinical outcome prediction are among the most important emerging applications of gene expression microarray technology with several molecular signatures on their way toward clinical deplo...

    Authors: Alexander Statnikov, Lily Wang and Constantin F Aliferis
    Citation: BMC Bioinformatics 2008 9:319
  8. Recent discoveries of a large variety of important roles for non-coding RNAs (ncRNAs) have been reported by numerous researchers. In order to analyze ncRNAs by kernel methods including support vector machines,...

    Authors: Kengo Sato, Toutai Mituyama, Kiyoshi Asai and Yasubumi Sakakibara
    Citation: BMC Bioinformatics 2008 9:318
  9. The Distributed Annotation System (DAS) is a widely adopted protocol for dynamically integrating a wide range of biological data from geographically diverse sources. DAS continues to expand its applicability a...

    Authors: Andrew M Jenkinson, Mario Albrecht, Ewan Birney, Hagen Blankenburg, Thomas Down, Robert D Finn, Henning Hermjakob, Tim JP Hubbard, Rafael C Jimenez, Philip Jones, Andreas Kähäri, Eugene Kulesha, José R Macías, Gabrielle A Reeves and Andreas Prlić
    Citation: BMC Bioinformatics 2008 9(Suppl 8):S3

    This article is part of a Supplement: Volume 9 Supplement 8

  10. Functional annotation of proteins remains a challenging task. Currently the scientific literature serves as the main source for yet uncurated functional annotations, but curation work is slow and expensive. Au...

    Authors: Samira Jaeger, Sylvain Gaudan, Ulf Leser and Dietrich Rebholz-Schuhmann
    Citation: BMC Bioinformatics 2008 9(Suppl 8):S2

    This article is part of a Supplement: Volume 9 Supplement 8

  11. Correctly merged data sets that have been independently genotyped can increase statistical power in linkage and association studies. However, alleles from microsatellite data sets genotyped with different expe...

    Authors: Angela P Presson, Eric M Sobel, Paivi Pajukanta, Christopher Plaisier, Daniel E Weeks, Karolina Ã…berg and Jeanette C Papp
    Citation: BMC Bioinformatics 2008 9:317
  12. A goal of proteomics is to distinguish between states of a biological system by identifying protein expression differences. Liu et al. demonstrated a method to perform semi-relative protein quantitation in shotgu...

    Authors: Paulo C Carvalho, Juliana SG Fischer, Emily I Chen, John R Yates III and Valmir C Barbosa
    Citation: BMC Bioinformatics 2008 9:316

    The Related Article to this article has been published in Nature Protocols 2015 11:nprot.2015.133

  13. Genome-wide association studies (GWAS) using single nucleotide polymorphism (SNP) markers provide opportunities to detect epistatic SNPs associated with quantitative traits and to detect the exact mode of an e...

    Authors: Li Ma, H Birali Runesha, Daniel Dvorkin, John R Garbe and Yang Da
    Citation: BMC Bioinformatics 2008 9:315
  14. A primary reason for using two-color microarrays is that the use of two samples labeled with different dyes on the same slide, that bind to probes on the same spot, is supposed to adjust for many factors that ...

    Authors: Ruixiao Lu, Geun-Cheol Lee, Michael Shultz, Chris Dardick, Kihong Jung, Jirapa Phetsom, Yi Jia, Robert H Rice, Zelanna Goldberg, Patrick S Schnable, Pamela Ronald and David M Rocke
    Citation: BMC Bioinformatics 2008 9:314
  15. Over 60% of protein-coding genes in vertebrates express mRNAs that undergo alternative splicing. The resulting collection of transcript isoforms poses significant challenges for contemporary biological assays....

    Authors: Michael C Ryan, Barry R Zeeberg, Natasha J Caplen, James A Cleland, Ari B Kahn, Hongfang Liu and John N Weinstein
    Citation: BMC Bioinformatics 2008 9:313
  16. Protein structures have conserved features – motifs, which have a sufficient influence on the protein function. These motifs can be found in sequence as well as in 3D space. Understanding of these fragments is...

    Authors: Adel Golovin and Kim Henrick
    Citation: BMC Bioinformatics 2008 9:312
  17. Many common disorders have multiple genetic components which convey increased susceptibility. SNPs have been used to identify genetic components which are associated with a disease. Unfortunately, many studies...

    Authors: Don L Armstrong, Chaim O Jacob and Raphael Zidovetzki
    Citation: BMC Bioinformatics 2008 9:311
  18. Large-scale genetic association studies can test hundreds of thousands of genetic markers for association with a trait. Since the genetic markers may be correlated, a Bonferroni correction is typically too str...

    Authors: Brian L Browning
    Citation: BMC Bioinformatics 2008 9:309
  19. Biomedical researchers often want to explore pathogenesis and pathways regulated by abnormally expressed genes, such as those identified by microarray analyses. Literature mining is an important way to assist ...

    Authors: Zhong-Xi Huang, Hui-Yong Tian, Zhen-Fu Hu, Yi-Bo Zhou, Jin Zhao and Kai-Tai Yao
    Citation: BMC Bioinformatics 2008 9:308
  20. Random forests are becoming increasingly popular in many scientific fields because they can cope with "small n large p" problems, complex interactions and even highly correlated predictor variables. Their vari...

    Authors: Carolin Strobl, Anne-Laure Boulesteix, Thomas Kneib, Thomas Augustin and Achim Zeileis
    Citation: BMC Bioinformatics 2008 9:307
  21. We propose a multiple sequence alignment (MSA) algorithm and compare the alignment-quality and execution-time of the proposed algorithm with that of existing algorithms. The proposed progressive alignment algo...

    Authors: David J Russell, Hasan H Otu and Khalid Sayood
    Citation: BMC Bioinformatics 2008 9:306
  22. Gene expression profiling has the potential to unravel molecular mechanisms behind gene regulation and identify gene targets for therapeutic interventions. As microarray technology matures, the number of micro...

    Authors: Ivan Borozan, Limin Chen, Bryan Paeper, Jenny E Heathcote, Aled M Edwards, Michael Katze, Zhaolei Zhang and Ian D McGilvray
    Citation: BMC Bioinformatics 2008 9:305
  23. Two problems complicate the study of selection in viral genomes: Firstly, the presence of genes in overlapping reading frames implies that selection in one reading frame can bias our estimates of neutral mutat...

    Authors: Saskia de Groot, Thomas Mailund, Gerton Lunter and Jotun Hein
    Citation: BMC Bioinformatics 2008 9:304
  24. False discovery rate (FDR) methods play an important role in analyzing high-dimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as numerous statistical algorithms for estim...

    Authors: Korbinian Strimmer
    Citation: BMC Bioinformatics 2008 9:303

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