Investigation of a new GRASP-based clustering algorithm applied to biological data

A large amount of biological data has been produced in the last years. Important knowledge can be extracted from these data by the use of data analysis techniques. Clustering plays an important role in data analysis, by organizing similar objects from a dataset into meaningful groups. Several clustering algorithms have been proposed in the literature. However, each algorithm has its bias, being more adequate for particular datasets. This paper presents a mathematical formulation to support the creation of consistent clusters for biological data. Moreover. it shows a clustering algorithm to solve this formulation that uses GRASP (Greedy Randomized Adaptive Search Procedure). We compared the proposed algorithm with three known other algorithms. The proposed algorithm presented the best clustering results confirmed statistically. (C) 2009 Elsevier Ltd. All rights reserved.

Pre-processing for noise detection in gene expression classification data

Due to the imprecise nature of biological experiments, biological data is often characterized by the presence of redundant and noisy data. This may be due to errors that occurred during data collection, such as contaminations in laboratorial samples. It is the case of gene expression data, where the equipments and tools currently used frequently produce noisy biological data. Machine Learning algorithms have been successfully used in gene expression data analysis. Although many Machine Learning algorithms can deal with noise, detecting and removing noisy instances from the training data set can help the induction of the target hypothesis. This paper evaluates the use of distance-based pre-processing techniques for noise detection in gene expression data classification problems. This evaluation analyzes the effectiveness of the techniques investigated in removing noisy data, measured by the accuracy obtained by different Machine Learning classifiers over the pre-processed data.

Integration and visualization of systems biology data in context of the genome

Background: High-density tiling arrays and new sequencing technologies are generating rapidly increasing volumes of transcriptome and protein-DNA interaction data. Visualization and exploration of this data is critical to understanding the regulatory logic encoded in the genome by which the cell dynamically affects its physiology and interacts with its environment. Results: The Gaggle Genome Browser is a cross-platform desktop program for interactively visualizing high-throughput data in the context of the genome. Important features include dynamic panning and zooming, keyword search and open interoperability through the Gaggle framework. Users may bookmark locations on the genome with descriptive annotations and share these bookmarks with other users. The program handles large sets of user-generated data using an in-process database and leverages the facilities of SQL and the R environment for importing and manipulating data. A key aspect of the Gaggle Genome Browser is interoperability. By connecting to the Gaggle framework, the genome browser joins a suite of interconnected bioinformatics tools for analysis and visualization with connectivity to major public repositories of sequences, interactions and pathways. To this flexible environment for exploring and combining data, the Gaggle Genome Browser adds the ability to visualize diverse types of data in relation to its coordinates on the genome. Conclusions: Genomic coordinates function as a common key by which disparate biological data types can be related to one another. In the Gaggle Genome Browser, heterogeneous data are joined by their location on the genome to create information-rich visualizations yielding insight into genome organization, transcription and its regulation and, ultimately, a better understanding of the mechanisms that enable the cell to dynamically respond to its environment.

A revision of the Neotropical Solenopsidini ant genus Oxyepoecus Santschi, 1926 (Hymenoptera: Formicidae: Myrmicinae): 2. Final. Key for species and revision of the Rastratus species-group

In the first paper of this series (Albuquerque & Brandão, 2004) we revised the Vezenyii species group of the exclusively Neotropical solenopsidine (Myrmicinae) ant genus Oxyepoecus. In this closing paper we update distribution information on the Vezenyii group species and revise the other Oxyepoecus species-group (Rastratus). We describe two species (Oxyepoecus myops n. sp. and O. rosai n. sp.) and redescribe previously known species of the group [O. daguerrei (Santschi, 1933), O. mandibularis (Emery, 1913), O. plaumanni Kempf, 1974, O. rastratus Mayr, 1887, and O. reticulatus Kempf, 1974], adding locality records and comments on the meagre biological data of these species. We also present an identification key to Oxyepoecus species based on workers.

Immatures of tapuruia Felisbertoi Lane, 1973 (Cerambycidae, Cerambycinae, Hexoplonini)

The larva and pupa of Tapuruia felisbertoi Lane, 1973, collected in Hevea brasiliensis (Euphorbiaceae) in Mato Grosso, Brazil, are described and illustrated. Biological data and a comparison with the larvae of other Hexoplonini species are also presented.

Vertebrados da Estação Ecológica Serra Geral do Tocantins: faunística, biodiversidade e conservação no Cerrado brasileiro

Inventários e estudos faunísticos detalhados sobre vertebrados são uma das fontes mais relevantes de dados para interpretações de padrões detalhados de diversidade biológica. Dados básicos e de boa qualidade sobre faunística são ainda mais urgentes em regiões pouco estudadas e sob intensa ameaça antrópica, tais como a região do Cerrado, um dos 34 hotspots globais para a conservação da biodiversidade. Apresentamos aqui uma síntese dos resultados dos inventários de vertebrados na Estação Ecológica Serra Geral do Tocantins (~716.000 ha), a segunda maior unidade de conservação em todo o Cerrado. Foram registradas 450 espécies de vertebrados na EESGT e entorno imediato, incluindo 17 espécies ameaçadas, 50 espécies endêmicas do Cerrado e 11 espécies com distribuição potencialmente restrita. Do total de espécies amostradas, 180 são novos registros para a região do Jalapão. Ao menos 12 espécies amostradas foram consideradas potenciais espécies novas, das quais quatro foram descritas recentemente, a partir do material obtido no inventário. Os resultados evidenciam que a EESGT é uma das mais importantes áreas protegidas no Brasil central, contribuindo para a persistência de espécies ameaçadas, dependentes dos últimos grandes blocos contínuos de vegetação nativa de Cerrado. Nossos resultados indicam ainda que a conservação da EESGT e suas principais subunidades é crucial para a representatividade do sistema de áreas protegidas do Cerrado, protegendo potenciais endemismos restritos que aliam alta vulnerabilidade intrínseca e valor como indicadores de padrões e processos biogeográficos formadores da rica e cada vez mais ameaçada fauna Neotropical.

Chemometric Studies on Natural Products as Potential Inhibitors of the NADH Oxidase from Trypanosoma cruzi Using the VolSurf Approach

Natural products have widespread biological activities, including inhibition of mitochondrial enzyme systems. Some of these activities, for example cytotoxicity, may be the result of alteration of cellular bioenergetics. Based on previous computer-aided drug design (CADD) studies and considering reported data on structure-activity relationships (SAR), an assumption regarding the mechanism of action of natural products against parasitic infections involves the NADH-oxidase inhibition. In this study, chemometric tools, such as: Principal Component Analysis (PCA), Consensus PCA (CPCA), and partial least squares regression (PLS), were applied to a set of forty natural compounds, acting as NADH-oxidase inhibitors. The calculations were performed using the VolSurf+ program. The formalisms employed generated good exploratory and predictive results. The independent variables or descriptors having a hydrophobic profile were strongly correlated to the biological data.

Untangling associations between chironomid taxa in Neotropical streams using local and landscape filters

1. Analyses of species association have major implications for selecting indicators for freshwater biomonitoring and conservation, because they allow for the elimination of redundant information and focus on taxa that can be easily handled and identified. These analyses are particularly relevant in the debate about using speciose groups (such as the Chironomidae) as indicators in the tropics, because they require difficult and time-consuming analysis, and their responses to environmental gradients, including anthropogenic stressors, are poorly known. 2. Our objective was to show whether chironomid assemblages in Neotropical streams include clear associations of taxa and, if so, how well these associations could be explained by a set of models containing information from different spatial scales. For this, we formulated a priori models that allowed for the influence of local, landscape and spatial factors on chironomid taxon associations (CTA). These models represented biological hypotheses capable of explaining associations between chironomid taxa. For instance, CTA could be best explained by local variables (e.g. pH, conductivity and water temperature) or by processes acting at wider landscape scales (e.g. percentage of forest cover). 3. Biological data were taken from 61 streams in Southeastern Brazil, 47 of which were in well-preserved regions, and 14 of which drained areas severely affected by anthropogenic activities. We adopted a model selection procedure using Akaike`s information criterion to determine the most parsimonious models for explaining CTA. 4. Applying Kendall`s coefficient of concordance, seven genera (Tanytarsus/Caladomyia, Ablabesmyia, Parametriocnemus, Pentaneura, Nanocladius, Polypedilum and Rheotanytarsus) were identified as associated taxa. The best-supported model explained 42.6% of the total variance in the abundance of associated taxa. This model combined local and landscape environmental filters and spatial variables (which were derived from eigenfunction analysis). However, the model with local filters and spatial variables also had a good chance of being selected as the best model. 5. Standardised partial regression coefficients of local and landscape filters, including spatial variables, derived from model averaging allowed an estimation of which variables were best correlated with the abundance of associated taxa. In general, the abundance of the associated genera tended to be lower in streams characterised by a high percentage of forest cover (landscape scale), lower proportion of muddy substrata and high values of pH and conductivity (local scale). 6. Overall, our main result adds to the increasing number of studies that have indicated the importance of local and landscape variables, as well as the spatial relationships among sampling sites, for explaining aquatic insect community patterns in streams. Furthermore, our findings open new possibilities for the elimination of redundant data in the assessment of anthropogenic impacts on tropical streams.

Inferring Contagion in Regulatory Networks

Several gene regulatory network models containing concepts of directionality at the edges have been proposed. However, only a few reports have an interpretable definition of directionality. Here, differently from the standard causality concept defined by Pearl, we introduce the concept of contagion in order to infer directionality at the edges, i.e., asymmetries in gene expression dependences of regulatory networks. Moreover, we present a bootstrap algorithm in order to test the contagion concept. This technique was applied in simulated data and, also, in an actual large sample of biological data. Literature review has confirmed some genes identified by contagion as actually belonging to the TP53 pathway.

Boracéia Biological Station: an ornithological review

Boracéia Biological Station, near the city of Salesópolis, SP, is located in one of the most well-defined centers of endemism in eastern Brazil - the Serra do Mar Center. While the station was established only in 1954 under the auspices of the Museu de Zoologia da Universidade de São Paulo, the avifauna of this locality had already attracted the attention of ornithologists by the 1940s, when the first specimens were collected. Here we describe the ornithological history of the Boracéia Biological Station with a review of all the bird species recorded during more than 68 years, including recent transect and mist-netting records. Boracéia's records were found in museums, literature and unpublished reports that totaled 323 bird species when recent data is also considered. Of these, 117 are endemic to the Atlantic forest and 28 are threatened in the state. Although there are a few doubtful records that need to be checked, some species are the only sightings in the state. Boracéia includes a recently discovered species near the station site and is extremely important for the conservation of Atlantic forest birds.

Different Approaches for Modeling Grouped Survival Data: A Mango Tree Study

Interval-censored survival data, in which the event of interest is not observed exactly but is only known to occur within some time interval, occur very frequently. In some situations, event times might be censored into different, possibly overlapping intervals of variable widths; however, in other situations, information is available for all units at the same observed visit time. In the latter cases, interval-censored data are termed grouped survival data. Here we present alternative approaches for analyzing interval-censored data. We illustrate these techniques using a survival data set involving mango tree lifetimes. This study is an example of grouped survival data.

Biogas production and valorization by means of a two-step biological process

The scope of this research work was to investigate biogas production and purification by a two-step bench-scale biological system, consisting of fed-batch pulse-feeding anaerobic digestion of mixed sludge, followed by methane enrichment of biogas by the use of the cyanobacterium Arthrospira platensis. The composition of biogas was nearly constant, and methane and carbon dioxide percentages ranged between 70.5-76.0% and 13.2-19.5%, respectively. Biogas yield reached a maximum value (about 0.4 m(biogas)(3)/kgCOD(i)) at 50 days-retention time and then gradually decreased with a decrease in the retention time. Biogas CO(2) was then used as a carbon source for A. platensis cultivation either under batch or fed-batch conditions. The mean cell productivity of fed-batch cultivation was about 15% higher than that observed during the last batch phase (0.035 +/- 0.006 g(DM)/L/d), likely due to the occurrence of some shading effect under batch growth conditions. The data of carbon dioxide removal from biogas revealed the existence of a linear relationship between the rates of A. platensis growth and carbon dioxide removal from biogas and allowed calculating carbon utilization efficiency for biomass production of almost 95%. (C) 2009 Elsevier Ltd. All rights reserved.

Assessment of the differential linear coherent scattering coefficient of biological samples

New differential linear coherent scattering coefficient, mu(CS), data for four biological tissue types (fat pork, tendon chicken, adipose and fibroglandular human breast tissues) covering a large momentum transfer interval (0.07 <= q <= 70.5 nm(-1)), resulted from combining WAXS and SAXS data, are presented in order to emphasize the need to update the default data-base by including the molecular interference and the large-scale arrangements effect. The results showed that the differential linear coherent scattering coefficient demonstrates influence of the large-scale arrangement, mainly due to collagen fibrils for tendon chicken and fibroglandular breast samples, and triacylglycerides for fat pork and adipose breast samples at low momentum transfer region. While, at high momentum transfer, the mu(CS) reflects effects of molecular interference related to water for tendon chicken and fibroglandular samples and, fatty acids for fat pork and adipose samples. (C) 2009 Elsevier B.V. All rights reserved.

Mycobacterium chelonae valve endocarditis resulting from contaminated biological prostheses

Objectives: A rapid-growing mycobacteria biological prosthetic valve (BPV) endocarditis related to prosthetic manufacturing process is described in Brazil. Methods: From 1999 to 2008, thirty-nine patients underwent BPV replacement due to culture-negative suspected endocarditis. All these cases had histological sections stained by Ziehl-Neelsen method. Clinical and microbiological data were reviewed in all acid-fast bacilli (AFB) positive cases. The 16S-23S internal transcribed sequence (ITS) was amplified using DNA extracted from paraffin-embedded samples, digested with restrictions enzymes and/or sequenced. Results: Eighteen AFB positive BPV (18/39)(46%) were implanted in 13 patients and were from the same manufacturer. Four of them were implanted in other hospitals. Thirteen BPV were histologically proven endocarditis and five showed a colonization pattern. The examination of six non-implanted ""sterile"" BPV from this manufacturer resulted in 5 AFB positive. Mycobacterium chelonae was the AFB identified by ITS restriction analysis and sequencing. Conclusions: Rapid-growing mycobacteria infections must be suspected and Ziehl-Neelsen stain always performed on histology of either early or late BPV endocarditis, particularly when blood cultures are negative. (C) 2010 The British Infection Society. Published by Elsevier Ltd. All rights reserved.

Autoantibodies as predictors of biological therapy for early rheumatoid arthritis

Introduction: The association between serological markers with the need of biological therapy for early rheumatoid arthritis (ERA) is not known, with few available data addressing this question. Objectives: To prospectively evaluate a cohort of patients with ERA (less than 12 months of symptoms) in order to determine the possible association between serological markers (rheumatoid factor (RF), anti-cyclic citrullinated peptide antibodies (anti-CCP), and citrullinated anti-vimentin (anti-Sa) with parameters of therapeutic outcome (this later defined by the need of introducing biological therapy). Patients and methods: Forty patients with early RA were evaluated at the time of diagnosis and have been followed for 3 years, in use of standardized therapeutic treatment. Demographic and clinical data were recorded, as well as serology tests (ELISA) for RF (IgM, IgG and IgA), anti-CCP (CCP2, CCP3 and CCP3.1) and anti-Sa in the initial evaluation and at 3, 6, 12, 18, 24 and 36 months of follow-up. As outcomes of the RA development, the need or not for biological therapy during the follow-up period were considered. Comparisons were made through the Student t test, mixed-effects regression analysis and analysis of variance (significance level of 5%). Results: The mean age was 45 (+/- 12) years; a female predominance was observed (90%). At the time of diagnosis, RF was observed in 50% of cases (RF IgA - 42%, RF IgG - 30% and RF IgM - 50%), anti-CCP in 50% (no difference between CCP2, CCP3 and CCP3. 1) and anti-Sa in 10%. After 3 years, no change in the RF prevalence neither in the anti-CCP was observed, but the anti-Sa increased to 17.5% (p = 0.001). Biological therapy was necessary in 22.5% of patients. The mean RF IgA and anti-CCP 2 levels during the 3 years were higher among patients who needed biological therapy (p <0.05 for both). Conclusion: Higher titles of RF and anti-CCP over time were associated with the need for biological therapy.