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  1. The study focuses on the impact of different sets of single nucleotide polymorphisms (SNPs) selected from the available data set on prediction of genomewide breeding values (GBVs) of animals. Correlations betw...

    Authors: Kacper Żukowski, Tomasz Suchocki, Anna Gontarek and Joanna Szyda
    Citation: BMC Proceedings 2009 3(Suppl 1):S13

    This article is part of a Supplement: Volume 3 Supplement 1

  2. In this study we compared different statistical procedures for estimating SNP effects using the simulated data set from the XII QTL-MAS workshop. Five procedures were considered and tested in a reference popul...

    Authors: Eduardo CG Pimentel, Sven Kƶnig, Flavio S Schenkel and Henner Simianer
    Citation: BMC Proceedings 2009 3(Suppl 1):S12

    This article is part of a Supplement: Volume 3 Supplement 1

  3. Breeding values for animals with marker data are estimated using a genomic selection approach where data is analyzed using Bayesian multi-marker association models. Fourteen model scenarios with varying haplot...

    Authors: Trine Michelle Villumsen and Luc Janss
    Citation: BMC Proceedings 2009 3(Suppl 1):S11

    This article is part of a Supplement: Volume 3 Supplement 1

  4. Genomic breeding values were estimated using a Gibbs sampler that avoided the use of the Metropolis-Hastings step as implemented in the BayesB model of Meuwissen et al., Genetics 2001, 157:1819ā€“1829.

    Authors: Mario PL Calus, Sander PW de Roos and Roel F Veerkamp
    Citation: BMC Proceedings 2009 3(Suppl 1):S10

    This article is part of a Supplement: Volume 3 Supplement 1

  5. The ultimate goal of QTL studies is to find causative mutations, which requires additional expression studies. Given the limited amount of time and funds, the smart option is to identify the most important QTL...

    Authors: Henri CM Heuven, John WM Bastiaansen and StƩphanie M van den Berg
    Citation: BMC Proceedings 2009 3(Suppl 1):S8

    This article is part of a Supplement: Volume 3 Supplement 1

  6. We applied a range of genome-wide association (GWA) methods to map quantitative trait loci (QTL) in the simulated dataset provided by the 12th QTLMAS workshop in order to derive an effective strategy.

    Authors: Alex C Lam, Joseph Powell, Wen-Hua Wei, Dirk-Jan de Koning and Chris S Haley
    Citation: BMC Proceedings 2009 3(Suppl 1):S6

    This article is part of a Supplement: Volume 3 Supplement 1

  7. To compare the power of various QTL mapping methodologies, a dataset was simulated within the framework of 12th QTLMAS workshop. A total of 5865 diploid individuals was simulated, spanning seven generations, with...

    Authors: Marco CAM Bink and Fred A van Eeuwijk
    Citation: BMC Proceedings 2009 3(Suppl 1):S4

    This article is part of a Supplement: Volume 3 Supplement 1

  8. As part of the QTLMAS XII workshop, a simulated dataset was distributed and participants were invited to submit analyses of the data based on genome-wide association, fine mapping and genomic selection. We hav...

    Authors: Lucy Crooks, Goutam Sahana, Dirk-Jan de Koning, Mogens SandĆø Lund and Ɩrjan Carlborg
    Citation: BMC Proceedings 2009 3(Suppl 1):S2

    This article is part of a Supplement: Volume 3 Supplement 1

  9. Bayesian unsupervised learning methods have many applications in the analysis of biological data. For example, for the cancer expression array datasets presented in this study, they can be used to resolve poss...

    Authors: Yiming Ying, Peng Li and Colin Campbell
    Citation: BMC Proceedings 2008 2(Suppl 4):S7

    This article is part of a Supplement: Volume 2 Supplement 4

  10. With the improvement of genotyping technologies and the exponentially growing number of available markers, case-control genome-wide association studies promise to be a key tool for investigation of complex dis...

    Authors: Nicolas Omont, Karl Forner, Marc Lamarine, Gwendal Martin, FranƧois KĆ©pĆØs and JĆ©rĆ“me Wojcik
    Citation: BMC Proceedings 2008 2(Suppl 4):S6

    This article is part of a Supplement: Volume 2 Supplement 4

  11. Nitrogen is an essential nutrient for all life forms. Like most unicellular organisms, the yeast Saccharomyces cerevisiae transports and catabolizes good nitrogen sources in preference to poor ones. Nitrogen cata...

    Authors: Kevin Kontos, Patrice Godard, Bruno AndrƩ, Jacques van Helden and Gianluca Bontempi
    Citation: BMC Proceedings 2008 2(Suppl 4):S5

    This article is part of a Supplement: Volume 2 Supplement 4

  12. Identifying gene functional modules is an important step towards elucidating gene functions at a global scale. Clustering algorithms mostly rely on co-expression of genes, that is group together genes having s...

    Authors: Etienne BirmelƩ, Mohamed Elati, CƩline Rouveirol and Christophe Ambroise
    Citation: BMC Proceedings 2008 2(Suppl 4):S4

    This article is part of a Supplement: Volume 2 Supplement 4

  13. Due to the continuous improvements of high throughput technologies and experimental procedures, the number of sequenced genomes is increasing exponentially. Ultimately, the task of annotating these data relies...

    Authors: JĆ©rĆ“me AzĆ©, Lucie Gentils, Claire Toffano-Nioche, Valentin Loux, Jean-FranƧois Gibrat, Philippe BessiĆØres, CĆ©line Rouveirol, Anne Poupon and Christine Froidevaux
    Citation: BMC Proceedings 2008 2(Suppl 4):S3

    This article is part of a Supplement: Volume 2 Supplement 4

  14. In this paper we describe work in progress in developing kernel methods for enzyme function prediction. Our focus is in developing so called structured output prediction methods, where the enzymatic reaction i...

    Authors: Katja Astikainen, Liisa Holm, Esa PitkƤnen, Sandor Szedmak and Juho Rousu
    Citation: BMC Proceedings 2008 2(Suppl 4):S2

    This article is part of a Supplement: Volume 2 Supplement 4

  15. This supplement contains extended versions of a selected subset of papers presented at the workshop MLSB 2007, Machine Learning in Systems Biology, Evry, France, from September 24 to 25, 2007.

    Authors: Florence d'AlchƩ-Buc and Louis Wehenkel
    Citation: BMC Proceedings 2008 2(Suppl 4):S1

    This article is part of a Supplement: Volume 2 Supplement 4

  16. The performance of disease surveillance systems is evaluated and monitored using a diverse set of statistical analyses throughout each stage of surveillance implementation. An overview of their main elements i...

    Authors: Andres G Lescano, Ria Purwita Larasati, Endang R Sedyaningsih, Khanthong Bounlu, Roger V Araujo-Castillo, Cesar V Munayco-Escate, Giselle Soto, C Cecilia Mundaca and David L Blazes
    Citation: BMC Proceedings 2008 2(Suppl 3):S7

    This article is part of a Supplement: Volume 2 Supplement 3

  17. Timeliness is a critical asset to the detection of public health threats when using syndromic surveillance systems. In order for epidemiologists to effectively distinguish which events are indicative of a true...

    Authors: Kieran M Moore, Graham Edge and Andrew R Kurc
    Citation: BMC Proceedings 2008 2(Suppl 3):S6

    This article is part of a Supplement: Volume 2 Supplement 3

  18. Electronic disease surveillance systems can be extremely valuable tools; however, a critical step in system implementation is collecting data. Without accurate and complete data, statistical anomalies that are...

    Authors: Sheri Happel Lewis and Richard Wojcik
    Citation: BMC Proceedings 2008 2(Suppl 3):S5

    This article is part of a Supplement: Volume 2 Supplement 3

  19. Infectious disease surveillance is a primary public health function in resource-limited settings. In 2003, an electronic disease surveillance system (Alerta) was established in the Peruvian Navy with support f...

    Authors: Giselle Soto, Roger V Araujo-Castillo, Joan Neyra, Miguel Fernandez, Carlos Leturia, Carmen C Mundaca and David L Blazes
    Citation: BMC Proceedings 2008 2(Suppl 3):S4

    This article is part of a Supplement: Volume 2 Supplement 3

  20. Electronic syndromic surveillance for early outbreak detection may be a simple, effective tool to rapidly bring reliable and actionable outbreak data to the attention of public health authorities in the develo...

    Authors: Hadi Siswoyo, Meda Permana, Ria P Larasati, Jeffryman Farid, Asep Suryadi and Endang R Sedyaningsih
    Citation: BMC Proceedings 2008 2(Suppl 3):S3

    This article is part of a Supplement: Volume 2 Supplement 3

  21. This paper describes and assesses the electronic surveillance of outbreaks based on the early warning for four endemic diseases ā€“ typhoid fever, amebic dysentery, viral hepatitis A and brucellosis ā€“ in Lebanon...

    Authors: Nada Ghosn, Alia Nasredine, Yolla Merhy Baddour, Denis Coulombier and Samah Nasserdine
    Citation: BMC Proceedings 2008 2(Suppl 3):S2

    This article is part of a Supplement: Volume 2 Supplement 3

  22. In some high-income countries, public health surveillance includes systems that use computer and information technology to monitor health data in near-real time, facilitating timely outbreak detection and situ...

    Authors: Jean-Paul Chretien and Sheri Happel Lewis
    Citation: BMC Proceedings 2008 2(Suppl 3):S1

    This article is part of a Supplement: Volume 2 Supplement 3

  23. During the Experts Meeting on Lung Cancer, participants emphasized the usefulness of erlotinib as second-line therapy for lung cancer. They noted that, although there are no comparative studies, erlotinib coul...

    Authors: Aldo Castagnari
    Citation: BMC Proceedings 2008 2(Suppl 2):S4

    This article is part of a Supplement: Volume 2 Supplement 2

  24. Treatment of non-small-cell lung cancer is dependent on disease stage. For patients with metastasis or locally advanced disease, the importance of finding therapeutic schemes that may benefit this population i...

    Authors: Nicholas Thatcher
    Citation: BMC Proceedings 2008 2(Suppl 2):S3

    This article is part of a Supplement: Volume 2 Supplement 2

  25. Authors: Carmen GarrigĆ³sc, M Eugenia PachĆ³n-IbƔƱez, Carmen Cabellos, Ɠscar Murillo, Enriqueta Force, FerrĆ”n Taberner, Marta Cardiel and Francesc Gudiol
    Citation: BMC Proceedings 2008 2(Suppl 1):P21

    This article is part of a Supplement: Volume 2 Supplement 1

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