References of "Wanderley-Nogueira, A. C"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailCaipirini: using gene sets to rank literature
Soldatos, Theodoros G.; O’Donoghue, S. I.; Satagopam, V. P. et al

in BioData Mining (2012), 5(1),

Background: Keeping up-to-date with bioscience literature is becoming increasingly challenging. Several recent methods help meet this challenge by allowing literature search to be launched based on lists ... [more ▼]

Background: Keeping up-to-date with bioscience literature is becoming increasingly challenging. Several recent methods help meet this challenge by allowing literature search to be launched based on lists of abstracts that the user judges to be ‘interesting’. Some methods go further by allowing the user to provide a second input set of ‘uninteresting’ abstracts; these two input sets are then used to search and rank literature by relevance. In this work we present the service ‘Caipirini’ (http:// caipirini.org) that also allows two input sets, but takes the novel approach of allowing ranking of literature based on one or more sets of genes. Results: To evaluate the usefulness of Caipirini, we used two test cases, one related to the human cell cycle, and a second related to disease defense mechanisms in Arabidopsis thaliana. In both cases, the new method achieved high precision in finding literature related to the biological mechanisms underlying the input data sets. Conclusions: To our knowledge Caipirini is the first service enabling literature search directly based on biological relevance to gene sets; thus, Caipirini gives the research community a new way to unlock hidden knowledge from gene sets derived via high-throughput experiments. [less ▲]

Detailed reference viewed: 92 (2 UL)
Full Text
Peer Reviewed
See detailAbundance and diversity of resistance genes in the sugarcane transcriptome revealed by in silico analysis.
Wanderley-Nogueira, A. C.; Soares-Cavalcanti, N. M.; Morais, D. A. L. et al

in Genetics and molecular research : GMR (2007), 6(4), 866-89

Resistance genes (R-genes) are responsible for the first interaction of the plant with pathogens being responsible for the activation (or not) of the defense response. Despite their importance and ... [more ▼]

Resistance genes (R-genes) are responsible for the first interaction of the plant with pathogens being responsible for the activation (or not) of the defense response. Despite their importance and abundance, no tools for their automatic annotation are available yet. The present study analyzed R-genes in the sugarcane expressed sequence tags database which includes 26 libraries of different tissues and development stages comprising 237,954 expressed sequence tags. A new annotation routine was used in order to avoid redundancies and overestimation of R-gene number, common mistakes in previous evaluations. After in silico screening, 280 R-genes were identified, with 196 bearing the complete domains expected. Regarding the alignments, most of the sugarcane's clusters yielded best matches with proteins from Oryza sativa, probably due to the prevalence of sequences of this monocot in data banks. All R-gene classes were found except the subclass LRR-NBS-TIR (leucine-rich repeats, nucleotide-binding site, including Toll interleukin-1 receptors), with prevalence of the kinase (Pto-like) class. R-genes were expressed in all libraries, but flowers, transition root to shoot, and roots were the most representative, suggesting that in sugarcane the expression of R-genes in non-induced conditions prevails in these tissues. In leaves, only low level of expression was found for some gene classes, while others were completely absent. A high allelic diversity was found in all classes of R-genes, sometimes showing best alignments with dicotyledons, despite the great number of genes from rice, maize and other grasses deposited in data banks. The results and future possibilities regarding R-genes in sugarcane research and breeding are further discussed. [less ▲]

Detailed reference viewed: 129 (0 UL)