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  1. Large-scale sequencing experiments are complex and require a wide spectrum of computational tools to extract and interpret relevant biological information. This is especially true in projects where individual ...

    Authors: Katherine Icay, Ping Chen, Alejandra Cervera, Ville Rantanen, Rainer Lehtonen and Sampsa Hautaniemi
    Citation: BioData Mining 2016 9:20
  2. Real Time Cell Analysis (RTCA) technology is used to monitor cellular changes continuously over the entire exposure period. Combining with different testing concentrations, the profiles have potential in probi...

    Authors: Yile Zhang, Yau Shu Wong, Jian Deng, Cristina Anton, Stephan Gabos, Weiping Zhang, Dorothy Yu Huang and Can Jin
    Citation: BioData Mining 2016 9:19
  3. The future of medicine is moving towards the phase of precision medicine, with the goal to prevent and treat diseases by taking inter-individual variability into account. A large part of the variability lies i...

    Authors: Ruowang Li, Scott M. Dudek, Dokyoon Kim, Molly A. Hall, Yuki Bradford, Peggy L. Peissig, Murray H. Brilliant, James G. Linneman, Catherine A. McCarty, Le Bao and Marylyn D. Ritchie
    Citation: BioData Mining 2016 9:18
  4. High-throughput or next-generation sequencing (NGS) technologies have become an established and affordable experimental framework in biological and medical sciences for all basic and translational research. Pr...

    Authors: Franco Milicchio, Rebecca Rose, Jiang Bian, Jae Min and Mattia Prosperi
    Citation: BioData Mining 2016 9:16
  5. Biomedical informatics has become a central focus for many academic medical centers and universities as biomedical research because increasingly reliant on the processing, analysis, and interpretation of large...

    Authors: Jason H. Moore and John H. Holmes
    Citation: BioData Mining 2016 9:15
  6. Gene isoforms are commonly found in both prokaryotes and eukaryotes. Since each isoform may perform a specific function in response to changing environmental conditions, studying the dynamics of gene isoforms ...

    Authors: Ma Liang, Castle Raley, Xin Zheng, Geetha Kutty, Emile Gogineni, Brad T. Sherman, Qiang Sun, Xiongfong Chen, Thomas Skelly, Kristine Jones, Robert Stephens, Bin Zhou, William Lau, Calvin Johnson, Tomozumi Imamichi, Minkang Jiang…
    Citation: BioData Mining 2016 9:13
  7. Genetic studies of human diseases have identified many variants associated with pathogenesis and severity. However, most studies have used only statistical association to assess putative relationships to disea...

    Authors: Minjun Huang, Britney E. Graham, Ge Zhang, Reed Harder, Nuri Kodaman, Jason H. Moore, Louis Muglia and Scott M. Williams
    Citation: BioData Mining 2016 9:12
  8. study of mapping and interaction of co-localized proteins at a sub-cellular level is important for understanding complex biological phenomena. One of the recent techniques to map co-localized proteins is to us...

    Authors: Shan E Ahmed Raza, Daniel Langenkämper, Korsuk Sirinukunwattana, David Epstein, Tim W. Nattkemper and Nasir M. Rajpoot
    Citation: BioData Mining 2016 9:11
  9. Antiretroviral therapy is essential for human immunodeficiency virus (HIV) infected patients to inhibit viral replication and therewith to slow progression of disease and prolong a patient’s life. However, the...

    Authors: Mona Riemenschneider, Robin Senge, Ursula Neumann, Eyke Hüllermeier and Dominik Heider
    Citation: BioData Mining 2016 9:10
  10. Machine learning methods and in particular random forests (RFs) are a promising alternative to standard single SNP analyses in genome-wide association studies (GWAS). RFs provide variable importance measures (...

    Authors: Silke Szymczak, Emily Holzinger, Abhijit Dasgupta, James D. Malley, Anne M. Molloy, James L. Mills, Lawrence C. Brody, Dwight Stambolian and Joan E. Bailey-Wilson
    Citation: BioData Mining 2016 9:7
  11. To understand the molecular function of biopolymers, studying their structural characteristics is of central importance. Graphics programs are often utilized to conceive these properties, but with the increasi...

    Authors: Florian Heinke, Sebastian Bittrich, Florian Kaiser and Dirk Labudde
    Citation: BioData Mining 2016 9:6
  12. Alzheimer’s disease (AD) is a neurodegenerative disease that causes dementia. While molecular basis of AD is not fully understood, genetic factors are expected to participate in the development and progression...

    Authors: Ailin Song, Jingwen Yan, Sungeun Kim, Shannon Leigh Risacher, Aaron K. Wong, Andrew J. Saykin, Li Shen and Casey S. Greene
    Citation: BioData Mining 2016 9:3
  13. Multi-gene lists and single sample predictor models have been currently used to reduce the multidimensional complexity of breast cancers, and to identify intrinsic subtypes. The perceived inability of some mod...

    Authors: Heloisa H. Milioli, Renato Vimieiro, Inna Tishchenko, Carlos Riveros, Regina Berretta and Pablo Moscato
    Citation: BioData Mining 2016 9:2
  14. Recent findings have reemphasized the importance of epistasis, or gene-gene interactions, as a contributing factor to the unexplained heritability of obesity. Network-based methods such as statistical epistasis n...

    Authors: Rishika De, Ting Hu, Jason H. Moore and Diane Gilbert-Diamond
    Citation: BioData Mining 2015 8:45
  15. The interaction effect among multiple genetic factors, i.e. epistasis, plays an important role in explaining susceptibility on common human diseases and phenotypic traits. The uncertainty over the number of ge...

    Authors: Ting Hu, Angeline S. Andrew, Margaret R. Karagas and Jason H. Moore
    Citation: BioData Mining 2015 8:43
  16. The genetic background to bipolar disorder (BPD) has been attributed to different genetic and genomic risk factors. In the present study we hypothesized that inherited copy number variations (CNVs) contribute ...

    Authors: Magnus Lekman, Robert Karlsson, Lisette Graae, Ola Hössjer and Ingrid Kockum
    Citation: BioData Mining 2015 8:42
  17. Despite heritability estimates of 40–70 % for obesity, less than 2 % of its variation is explained by Body Mass Index (BMI) associated loci that have been identified so far. Epistasis, or gene-gene interactions a...

    Authors: Rishika De, Shefali S. Verma, Fotios Drenos, Emily R. Holzinger, Michael V. Holmes, Molly A. Hall, David R. Crosslin, David S. Carrell, Hakon Hakonarson, Gail Jarvik, Eric Larson, Jennifer A. Pacheco, Laura J. Rasmussen-Torvik, Carrie B. Moore, Folkert W. Asselbergs, Jason H. Moore…
    Citation: BioData Mining 2015 8:41
  18. The purpose of the MaxT algorithm is to provide a significance test algorithm that controls the family-wise error rate (FWER) during simultaneous hypothesis testing. However, the requirements in terms of compu...

    Authors: François Van Lishout, Francesco Gadaleta, Jason H. Moore, Louis Wehenkel and Kristel Van Steen
    Citation: BioData Mining 2015 8:36
  19. Racial/ethnic differences for commonly measured clinical variables are well documented, and it has been postulated that population-specific genetic factors may play a role. The genetic heterogeneity of admixed...

    Authors: Logan Dumitrescu, Nicole A. Restrepo, Robert Goodloe, Jonathan Boston, Eric Farber-Eger, Sarah A. Pendergrass, William S. Bush and Dana C. Crawford
    Citation: BioData Mining 2015 8:35
  20. Connectivity networks, which reflect multiple interactions between genes and proteins, possess not only a descriptive but also a predictive value, as new connections can be extrapolated and tested by means of ...

    Authors: Olga V. Valba, Sergei K. Nechaev, Mark G. Sterken, L. Basten Snoek, Jan E. Kammenga and Olga O. Vasieva
    Citation: BioData Mining 2015 8:33
  21. In cancer, large-scale technologies such as next-generation sequencing and microarrays have produced a wide number of genomic features such as DNA copy number alterations (CNA), mRNA expression (EXPR), microRN...

    Authors: Hugo Gómez-Rueda, Emmanuel Martínez-Ledesma, Antonio Martínez-Torteya, Rebeca Palacios-Corona and Victor Trevino
    Citation: BioData Mining 2015 8:32
  22. Diverse types of biological data, primary as well as derived, are available in various formats and are stored in heterogeneous resources. Database-specific as well as integrated search engines are available fo...

    Authors: Rajiv Karbhal, Sangeeta Sawant and Urmila Kulkarni-Kale
    Citation: BioData Mining 2015 8:31

    The Erratum to this article has been published in BioData Mining 2016 9:8

  23. The identification of interaction networks between proteins and complexes holds the promise of offering novel insights into the molecular mechanisms that regulate many biological processes. With increasing vol...

    Authors: Syed Haider, Zoltan Lipinszki, Marcin R. Przewloka, Yaseen Ladak, Pier Paolo D’Avino, Yuu Kimata, Pietro Lio’ and David M. Glover
    Citation: BioData Mining 2015 8:30
  24. Modeling of the immune system – a highly non-linear and complex system – requires practical and efficient data analytic approaches. The immune system is composed of heterogeneous cell populations and hundreds ...

    Authors: Pinyi Lu, Vida Abedi, Yongguo Mei, Raquel Hontecillas, Stefan Hoops, Adria Carbo and Josep Bassaganya-Riera
    Citation: BioData Mining 2015 8:27
  25. Molecular networks act as the backbone of molecular activities within cells, offering a unique opportunity to better understand the mechanism of diseases. While network data usually constitute only static netw...

    Authors: Yuji Zhang
    Citation: BioData Mining 2015 8:26
  26. Although principal component analysis (PCA) is widely used for the dimensional reduction of biomedical data, interpretation of PCA results remains daunting. Most existing interpretation methods attempt to expl...

    Authors: H. Robert Frost, Zhigang Li and Jason H. Moore
    Citation: BioData Mining 2015 8:25
  27. Biological data mining is a powerful tool that can provide a wealth of information about patterns of genetic and genomic biomarkers of health and disease. A potential disadvantage of data mining is volume and ...

    Authors: Talia L. Weiss, Amanda Zieselman, Douglas P. Hill, Solomon G. Diamond, Li Shen, Andrew J. Saykin and Jason H. Moore
    Citation: BioData Mining 2015 8:22
  28. Microbial communities adapt to environmental conditions for optimizing metabolic flux. Such adaption may include cooperative mechanisms eventually resulting in phenotypic observables as emergent properties tha...

    Authors: Magnus Bosse, Alexander Heuwieser, Andreas Heinzel, Ivan Nancucheo, Hivana Melo Barbosa Dall’Agnol, Arno Lukas, George Tzotzos and Bernd Mayer
    Citation: BioData Mining 2015 8:21
  29. Taxanes are naturally occurring compounds which belong to a powerful group of chemotherapeutic drugs with anticancer properties. Their current use, clinical efficacy, and unique mechanism of action indicate th...

    Authors: Kasi Murugan, Sangeetha Shanmugasamy, Saleh Al-Sohaibani, Naga Vignesh, Kandavel Palanikannan, Antonydhason Vimala and Gopal Ramesh Kumar
    Citation: BioData Mining 2015 8:19
  30. The study of interactions between molecules belonging to different biochemical families (such as lipids and nucleic acids) requires specialized data analysis methods. This article describes the DNA Microarray ...

    Authors: Tomasz Waller, Tomasz Gubała, Krzysztof Sarapata, Monika Piwowar and Wiktor Jurkowski
    Citation: BioData Mining 2015 8:18
  31. In genome-wide studies, hundreds of thousands of hypothesis tests are performed simultaneously. Bonferroni correction and False Discovery Rate (FDR) can effectively control type I error but often yield a high ...

    Authors: Jiang Gui, Casey S. Greene, Con Sullivan, Walter Taylor, Jason H. Moore and Carol Kim
    Citation: BioData Mining 2015 8:17
  32. Biorepositories linked to de-identified electronic medical records (EMRs) have the potential to complement traditional epidemiologic studies in genotype-phenotype studies of complex human diseases and traits. ...

    Authors: Logan Dumitrescu, Robert Goodloe, Yukiko Bradford, Eric Farber-Eger, Jonathan Boston and Dana C Crawford
    Citation: BioData Mining 2015 8:15

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