Volume 14 Supplement 1

Computational Intelligence in Bioinformatics and Biostatistics: new trends from the CIBB conference series


Edited by Riccardo Rizzo and Paulo JG Lisboa

Publication of this supplement was funded by the authors.

Seventh International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics (CIBB 2010). Go to conference site.

Palermo, Italy

16-18 September 2010

  1. Introduction


    Riccardo Rizzo and Paulo JG Lisboa

    BMC Bioinformatics 2013 14(Suppl 1):I1

    Published on: 14 January 2013

  2. Research

    Visualization of protein interaction networks: problems and solutions

    Visualization concerns the representation of data visually and is an important task in scientific research. Protein-protein interactions (PPI) are discovered using either wet lab techniques, such mass spectrom...

    Giuseppe Agapito, Pietro Hiram Guzzi and Mario Cannataro

    BMC Bioinformatics 2013 14(Suppl 1):S1

    Published on: 14 January 2013

  3. Research

    SymGRASS: a database of sugarcane orthologous genes involved in arbuscular mycorrhiza and root nodule symbiosis

    The rationale for gathering information from plants procuring nitrogen through symbiotic interactions controlled by a common genetic program for a sustainable biofuel production is the high energy demanding ap...

    Luis Carlos Belarmino, Roberta Lane de Oliveira Silva, Nina da Mota Soares Cavalcanti, Nicolas Krezdorn, Ederson Akio Kido, Ralf Horres, Peter Winter, Günter Kahl and Ana Maria Benko-Iseppon

    BMC Bioinformatics 2013 14(Suppl 1):S2

    Published on: 14 January 2013

  4. Research

    A negative selection heuristic to predict new transcriptional targets

    Supervised machine learning approaches have been recently adopted in the inference of transcriptional targets from high throughput trascriptomic and proteomic data showing major improvements from with respect ...

    Luigi Cerulo, Vincenzo Paduano, Pietro Zoppoli and Michele Ceccarelli

    BMC Bioinformatics 2013 14(Suppl 1):S3

    Published on: 14 January 2013

  5. Research

    A methodology to assess the intrinsic discriminative ability of a distance function and its interplay with clustering algorithms for microarray data analysis

    Clustering is one of the most well known activities in scientific investigation and the object of research in many disciplines, ranging from statistics to computer science. Following Handl et al., it can be summa...

    Raffaele Giancarlo, Giosué Lo Bosco, Luca Pinello and Filippo Utro

    BMC Bioinformatics 2013 14(Suppl 1):S6

    Published on: 14 January 2013

  6. Research

    Expression dynamics and genome distribution of osmoprotectants in soybean: identifying important components to face abiotic stress

    Despite the importance of osmoprotectants, no previous in silico evaluation of high throughput data is available for higher plants. The present approach aimed at the identification and annotation of osmoprotectan...

    Ederson A Kido, José RC Ferreira Neto, Roberta LO Silva, Luis C Belarmino, João P Bezerra Neto, Nina M Soares-Cavalcanti, Valesca Pandolfi, Manassés D Silva, Alexandre L Nepomuceno and Ana M Benko-Iseppon

    BMC Bioinformatics 2013 14(Suppl 1):S7

    Published on: 14 January 2013

  7. Research

    Finding reproducible cluster partitions for the k-means algorithm

    K-means clustering is widely used for exploratory data analysis. While its dependence on initialisation is well-known, it is common practice to assume that the partition with lowest sum-of-squares (SSQ) total ...

    Paulo JG Lisboa, Terence A Etchells, Ian H Jarman and Simon J Chambers

    BMC Bioinformatics 2013 14(Suppl 1):S8

    Published on: 14 January 2013

  8. Research

    Accurate prediction of protein enzymatic class by N-to-1 Neural Networks

    We present a novel ab initio predictor of protein enzymatic class. The predictor can classify proteins, solely based on their sequences, into one of six classes extracted from the enzyme commission (EC) classi...

    Viola Volpato, Alessandro Adelfio and Gianluca Pollastri

    BMC Bioinformatics 2013 14(Suppl 1):S11

    Published on: 14 January 2013