This study developed a computational tool with a graphical interface and a web-service that allows the identification of phage regions through homology search and gene clustering. It uses G+C content variation evaluation and tRNA prediction sites as evidence to reinforce the presence of prophages in indeterminate regions. Also, it performs the functional characterization of the prophages regions through data integration of biological databases. The performance of PhageWeb was compared to other available tools (PHASTER, Prophinder, and PhiSpy) using Sensitivity (Sn) and Positive Predictive Value (PPV) tests. As a reference for the tests, more than 80 manually annotated genomes were used. In the PhageWeb analysis, the Sn index was 86.1% and the PPV was approximately 87%, while the second best tool presented Sn and PPV values of 83.3 and 86.5%, respectively. These numbers allowed us to observe a greater precision in the regions identified by PhageWeb while compared to other prediction tools submitted to the same tests. Additionally, PhageWeb was much faster than the other computational alternatives, decreasing the processing time to approximately one-ninth of the time required by the second best software. PhageWeb is freely available at http://computationalbiology.ufpa.br/phageweb.

With increased production of genomic data since the advent of next-generation sequencing (NGS), there has been a need to develop new bioinformatics tools and areas, such as comparative genomics. In comparative genomics, the genetic material of an organism is directly compared to that of another organism to better understand biological species. Moreover, the exponentially growing number of deposited prokaryote genomes has enabled the investigation of several genomic characteristics that are intrinsic to certain species. Thus, a new approach to comparative genomics, termed pan-genomics, was developed. In pan-genomics, various organisms of the same species or genus are compared. Currently, there are many tools that can perform pan-genomic analyses, such as PGAP (Pan-Genome Analysis Pipeline), Panseq (Pan-Genome Sequence Analysis Program) and PGAT (Prokaryotic Genome Analysis Tool). Among these software tools, PGAP was developed in the Perl scripting language and its reliance on UNIX platform terminals and its requirement for an extensive parameterized command line can become a problem for users without previous computational knowledge. Thus, the aim of this study was to develop a web application, known as PanWeb, that serves as a graphical interface for PGAP. In addition, using the output files of the PGAP pipeline, the application generates graphics using custom-developed scripts in the R programming language. PanWeb is freely available at http://www. computationalbiology.ufpa.br/panweb.

Esta pesquisa investiga o alinhamento entre as estratégias praticadas e missão organizacional de uma instituição sem fins lucrativos. Uma reflexão voltada para os desafios enfrentados no campo gerencial, obrigando-a repensar missão e forma de atuação. Estas organizações têm adaptado alguns valores e convertendo processos anteriormente informais em práticas gerenciais modernas da lógica empresarial. O estudo de caso, realizado sob a perspectiva qualitativa, cujo amparo metodológico principal de análise de dados baseou-se na análise de conteúdo, com o objetivo de identificar se as estratégias praticadas na organização estão alinhadas com sua missão social. Os resultados da pesquisa mostraram que a perspectiva da estratégia na gestão social ganha complexidade no processo de construção, com uso maior de estratégias emergentes, o que é justificada pelas mudanças bruscas que ocorrem no dia-a-dia da organização.

Através dos estudos das áreas de Computação Afetiva, este trabalho visa apresentar os resultados do desenvolvimento de uma ferramenta computacional capaz de capturar as expressões faciais do usuário participante utilizando-se do Kinect, a fim de realizar a elaboração de cenários para avaliação da afetividade de indivíduos por meio da captura dos traços de personalidade em expressões faciais.

Violence against women is a problem faced in several ways, in various societies; however, the introduction of computational tools is something still little explored in this confrontation. Thus, it is necessary to invest in researches that bring technological development closer to the prevention, discovery, and combat of this form of violence. This paper presents the Women's Health Observer Tool (WHOT) that helps to build psychobehavioral profiles of women victims of violence, based on three features: i) recognition of facial expressions to infer emotions; ii) provision of digital questionnaires on intimate partner violence (IPV), adverse childhood experiences (ACE) and post-traumatic stress disorder (PTSD); and iii) generation of individual reports with cross-references of statistical analysis between the data obtained in each interview. To validate the tool, a case study was conducted with 50 women assisted in basic health units in a city of the Brazilian Amazon for prenatal care. The results are satisfactory for the use of the tool, which was able to infer emotions (joy, surprise, sadness, and anger), and the prevalence of sadness (25.24%) was verified among the interviewees. For ACE, the majority (21) of the women reported having suffered only physical abuse; as for IPV, the majority of the interviewees (27) reported no abuse; and 78% of the women (39) had no indicative signs of PTSD. The results further point out that there is 3.94 more chance that the group of women who reported any abuse, either in childhood or adulthood, compared to the reference group, would develop PTSD.