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Results and data

This section incorporates novel results, useful tools, and methods using bioinformatics in new ways, including but not limited to: biological conclusions that are only supported by bioinformatics analyses.

Page 1 of 10
  1. Content type: Research article

    Core collections provide genebank curators and plant breeders a way to reduce size of their collections and populations, while minimizing impact on genetic diversity and allele frequency. Many methods have bee...

    Authors: Herman De Beukelaer, Guy F Davenport and Veerle Fack

    Citation: BMC Bioinformatics 2018 19:203

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  2. Content type: Research article

    Thanks to a reasonable cost and simple sample preparation procedure, linear MALDI-ToF spectrometry is a growing technology for clinical microbiology. With appropriate spectrum databases, this technology can be...

    Authors: Vincent Picaud, Jean-Francois Giovannelli, Caroline Truntzer, Jean-Philippe Charrier, Audrey Giremus, Pierre Grangeat and Catherine Mercier

    Citation: BMC Bioinformatics 2018 19:123

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  3. Content type: Research article

    Phenome-wide association studies (PheWAS) are a high-throughput approach to evaluate comprehensive associations between genetic variants and a wide range of phenotypic measures. PheWAS has varying sample sizes...

    Authors: Anurag Verma, Yuki Bradford, Scott Dudek, Anastasia M. Lucas, Shefali S. Verma, Sarah A. Pendergrass and Marylyn D. Ritchie

    Citation: BMC Bioinformatics 2018 19:120

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  4. Content type: Research

    Diabetes mellitus is a common and complicated chronic lifelong disease. Hence, it is of high clinical significance to find the most relevant clinical indexes and to perform efficient computer-aided pre-diagnos...

    Authors: Peihua Chen and Chuandi Pan

    Citation: BMC Bioinformatics 2018 19:109

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  5. Content type: Research Article

    Feature selection is commonly employed for identifying collectively-predictive biomarkers and biosignatures; it facilitates the construction of small statistical models that are easier to verify, visualize, an...

    Authors: Michail Tsagris, Vincenzo Lagani and Ioannis Tsamardinos

    Citation: BMC Bioinformatics 2018 19:17

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  6. Content type: Research article

    Running multiple-chain Markov Chain Monte Carlo (MCMC) provides an efficient parallel computing method for complex Bayesian models, although the efficiency of the approach critically depends on the length of t...

    Authors: Peng Guo, Bo Zhu, Hong Niu, Zezhao Wang, Yonghu Liang, Yan Chen, Lupei Zhang, Hemin Ni, Yong Guo, El Hamidi A. Hay, Xue Gao, Huijiang Gao, Xiaolin Wu, Lingyang Xu and Junya Li

    Citation: BMC Bioinformatics 2018 19:3

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  7. Content type: Research article

    Bioinformatic tools for the enrichment of ‘omics’ datasets facilitate interpretation and understanding of data. To date few are suitable for metabolomics datasets. The main objective of this work is to give a ...

    Authors: Anna Marco-Ramell, Magali Palau-Rodriguez, Ania Alay, Sara Tulipani, Mireia Urpi-Sarda, Alex Sanchez-Pla and Cristina Andres-Lacueva

    Citation: BMC Bioinformatics 2018 19:1

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  8. Content type: Methodology Article

    qPCR has established itself as the technique of choice for the quantification of gene expression. Procedures for conducting qPCR have received significant attention; however, more rigorous approaches to the st...

    Authors: Michael T. Ganger, Geoffrey D. Dietz and Sarah J. Ewing

    Citation: BMC Bioinformatics 2017 18:534

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  9. Content type: Database

    Autism spectrum disorders (ASD) are hereditary, heterogeneous and biologically complex neurodevelopmental disorders. Individual studies on gene expression in ASD cannot provide clear consensus conclusions. The...

    Authors: Shuyun Zhang, Libin Deng, Qiyue Jia, Shaoting Huang, Junwang Gu, Fankun Zhou, Meng Gao, Xinyi Sun, Chang Feng and Guangqin Fan

    Citation: BMC Bioinformatics 2017 18:494

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  10. Content type: Methodology Article

    The advent of array-based genome-wide DNA methylation methods has enabled quantitative measurement of single CpG methylation status at relatively low cost and sample input. Whereas the use of Infinium Human Me...

    Authors: Maria Needhamsen, Ewoud Ewing, Harald Lund, David Gomez-Cabrero, Robert Adam Harris, Lara Kular and Maja Jagodic

    Citation: BMC Bioinformatics 2017 18:486

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  11. Content type: Software

    Threshold regression models are a diverse set of non-regular regression models that all depend on change points or thresholds. They provide a simple but elegant and interpretable way to model certain kinds of ...

    Authors: Youyi Fong, Ying Huang, Peter B. Gilbert and Sallie R. Permar

    Citation: BMC Bioinformatics 2017 18:454

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  12. Content type: Database

    Recent advances in omics technology have produced a large amount of liver-related data. A comprehensive and up-to-date source of liver-related data is needed to allow biologists to access the latest data. Howe...

    Authors: Tao Chen, Mansheng Li, Qiang He, Lei Zou, Youhuan Li, Cheng Chang, Dongyan Zhao and Yunping Zhu

    Citation: BMC Bioinformatics 2017 18:452

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  13. Content type: Research Article

    Small insertions and deletions (indels) have a significant influence in human disease and, in terms of frequency, they are second only to single nucleotide variants as pathogenic mutations. As the majority of ...

    Authors: Michael Ferlaino, Mark F. Rogers, Hashem A. Shihab, Matthew Mort, David N. Cooper, Tom R. Gaunt and Colin Campbell

    Citation: BMC Bioinformatics 2017 18:442

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2016 Journal Metrics

  • Citation Impact
    2.448 - 2-year Impact Factor
    3.450 - 5-year Impact Factor
    0.946 - Source Normalized Impact per Paper (SNIP)
    1.467 - SCImago Journal Rank (SJR)

    1405 Usage Factor

    Social Media Impact
    816 mentions