Bioinformatics aims at applying computer science methods to the wealth of data collected in a variety of experiments in life sciences (e.g. cell and molecular biology, biochemistry...
spectives. A total of 149 abstracts were accepted and presented in the poster session and 31 of them were selected for oral presentation. At the opening of the meeting, Roderic Gui...
Background: The systematic capture of appropriately annotated experimental data is a prerequisite for most bioinformatics analyses. Data capture is required not only for submissio...
Daniel Jameson, Kevin L. Garwood, Christopher Garw...
Background: There is a need for software applications that provide users with a complete and extensible toolkit for chemo- and bioinformatics accessible from a single workbench. C...
Ola Spjuth, Tobias Helmus, Egon L. Willighagen, St...
This paper addresses the protein classification problem, and explores how its accuracy can be improved by using information from time-course gene expression data. The methods are ...
Antonina Mitrofanova, Samantha Kleinberg, Jane Car...
This paper presents a novel method for DNA microarray gridding based on Support Vector Machine (SVM) classifiers. It employs a set of soft-margin SVMs to estimate the lines of the ...
Dimitris G. Bariamis, Dimitris Maroulis, Dimitrios...
Clinical databases store large amounts of information about patients and their medical conditions. Data mining techniques can extract relationships and patterns holding in this we...
Michele Berlingerio, Francesco Bonchi, Fosca Giann...
While much research has been done on finding similarities between protein sequences, there has not been the same progress on finding similarities between protein structures. Here ...
Tom Milledge, Gaolin Zheng, Tim Mullins, Giri Nara...
Coinfection ofa single cell with two or more HIVstrains may produce recombinant viruses upon template switching by the replication machinery. We applied a hierarchical multiple ch...
Misha L. Rajaram, Vladimir N. Minin, Marc A. Sucha...