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Volume 10 Supplement 12

Bioinformatics Methods for Biomedical Complex System Applications


Edited by Luciano Milanesi and Paolo Romano

Bioinformatics Methods for Biomedical Complex Systems Applications (NETTAB2008). Go to conference site.

Varenna, Italy19-21 May 2008

  1. Content type: Research

    The integration of data from multiple genome-wide assays is essential for understanding dynamic spatio-temporal interactions within cells. Such integration, which leads to a more complete view of cellular proc...

    Authors: Chiara Balestrieri, Lilia Alberghina, Marco Vanoni and Ferdinando Chiaradonna

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S1

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  2. Content type: Introduction

    In this paper we provide an introduction to the techniques for multi-scale complex biological systems, from the single bio-molecule to the cell, combining theoretical modeling, experiments, informatics tools a...

    Authors: Luciano Milanesi, Paolo Romano, Gastone Castellani, Daniel Remondini and Pietro Liò

    Citation: BMC Bioinformatics 2009 10(Suppl 12):I1

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  3. Content type: Research

    The NCBI dbEST currently contains more than eight million human Expressed Sequenced Tags (ESTs). This wide collection represents an important source of information for gene expression studies, provided it can ...

    Authors: Ivan Merelli, Andrea Caprera, Alessandra Stella, Marcello Del Corvo, Luciano Milanesi and Barbara Lazzari

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S2

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  4. Content type: Research

    The design of mutants in protein functional regions, such as the ligand binding sites, is a powerful approach to recognize the determinants of specific protein activities in cellular pathways. For an exhaustiv...

    Authors: Federica Chiappori, Pasqualina D'Ursi, Ivan Merelli, Luciano Milanesi and Ermanna Rovida

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S3

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  5. Content type: Research

    Mechanistic models are becoming more and more popular in Systems Biology; identification and control of models underlying biochemical pathways of interest in oncology is a primary goal in this field. Unfortuna...

    Authors: Filippo Menolascina, Domenico Bellomo, Thomas Maiwald, Vitoantonio Bevilacqua, Caterina Ciminelli, Angelo Paradiso and Stefania Tommasi

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S4

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  6. Content type: Research

    The today's public database infrastructure spans a very large collection of heterogeneous biological data, opening new opportunities for molecular biology, bio-medical and bioinformatics research, but raising ...

    Authors: Marco Mesiti, Ernesto Jiménez-Ruiz, Ismael Sanz, Rafael Berlanga-Llavori, Paolo Perlasca, Giorgio Valentini and David Manset

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S7

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  7. Content type: Research

    The identification of the organisation and dynamics of molecular pathways is crucial for the understanding of cell function. In order to reconstruct the molecular pathways in which a gene of interest is involv...

    Authors: Ettore Mosca, Gloria Bertoli, Eleonora Piscitelli, Laura Vilardo, Rolland A Reinbold, Ileana Zucchi and Luciano Milanesi

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S8

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  8. Content type: Research

    Mass spectrometry spectra, widely used in proteomics studies as a screening tool for protein profiling and to detect discriminatory signals, are high dimensional data. A large number of local maxima (a.k.a. peaks

    Authors: Michele Ceccarelli, Antonio d'Acierno and Angelo Facchiano

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S9

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  9. Content type: Research

    Complex microarray gene expression datasets can be used for many independent analyses and are particularly interesting for the validation of potential biomarkers and multi-gene classifiers. This article presen...

    Authors: Luca Corradi, Valentina Mirisola, Ivan Porro, Livia Torterolo, Marco Fato, Paolo Romano and Ulrich Pfeffer

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S10

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  10. Content type: Research

    One of the topics of major interest in proteomics is protein identification. Protein identification can be achieved by analyzing the mass spectrum of a protein sample through different approaches. One of them,...

    Authors: Alessandra Tiengo, Nicola Barbarini, Sonia Troiani, Luisa Rusconi and Paolo Magni

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S11

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  11. Content type: Research

    Cell motility plays a central role in development, wound-healing and tumour invasion. Cultures of eucariotic cells are a complex system where most cells move according to 'random' patterns, but may also be ind...

    Authors: Concita Cantarella, Leandra Sepe, Francesca Fioretti, Maria Carla Ferrari and Giovanni Paolella

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S12

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  12. Content type: Research

    The associations existing among different biomarkers are important in clinical settings because they contribute to the characterisation of specific pathways related to the natural history of the disease, genet...

    Authors: Federico M Stefanini, Danila Coradini and Elia Biganzoli

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S13

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  13. Content type: Research

    The cell cycle is a complex process that allows eukaryotic cells to replicate chromosomal DNA and partition it into two daughter cells. A relevant regulatory step is in the G0/G1 phase, a point called the restric...

    Authors: Roberta Alfieri, Matteo Barberis, Ferdinando Chiaradonna, Daniela Gaglio, Luciano Milanesi, Marco Vanoni, Edda Klipp and Lilia Alberghina

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S16

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  14. Content type: Research

    Protein-protein interactions can be considered the basic skeleton for living organism self-organization and homeostasis. Impressive quantities of experimental data are being obtained and computational tools ar...

    Authors: Alejandro Real-Chicharro, Iván Ruiz-Mostazo, Ismael Navas-Delgado, Amine Kerzazi, Othmane Chniber, Francisca Sánchez-Jiménez, Miguel Ángel Medina and José F Aldana-Montes

    Citation: BMC Bioinformatics 2009 10(Suppl 12):S17

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2018 Journal Metrics

  • Citation Impact
    2.511 - 2-year Impact Factor
    2.970 - 5-year Impact Factor
    0.855 - Source Normalized Impact per Paper (SNIP)
    1.374 - SCImago Journal Rank (SJR)


    Social Media Impact
    4446 mentions