RESUMO
Optimizing and monitoring the data flow in high-throughput sequencing facilities is important for data input and output, for tracking the status of results for the users of the facility, and to guarantee a good, high-quality service. In a multi-user system environment with different throughputs, each user wants to access his/her data easily, track his/her sequencing history, analyze sequences and their quality, and apply some basic post-sequencing analysis, without the necessity of installing further software. Recently, Fiocruz established such a core facility as a "technological platform". Infrastructure includes a 48-capillary 3730 DNA Sequence Analyzer (Applied Biosystems) and supporting equipment. The service includes running samples for large-scale users, performing DNA sequencing reactions and runs for medium and small users, and participation in partial or full genome projects. We implemented a workflow that fulfills these requirements for small and high throughput users. Our implementation also includes the monitoring of data for continuous quality improvement (reports by plate, month and user) by the sequencing staff. For the user, different analyses of the chromatograms, such as visualization of good quality regions, as well as processing, such as comparisons or assemblies, are available. So far, 180 users have made use of the service, generating 155,000 sequences, 35% of which were produced for the BCG Moreau-RJ genome project. The pipeline (named ChromaPipe for Chromatogram Pipeline) is available for download by the scientific community at the url http://bioinfo.pdtis.fiocruz.br/ChromaPipe/. The support for assembly is also configured as a web service: http://bioinfo.pdtis.fiocruz.br/Assembly/.
Assuntos
Biologia Computacional/métodos , Análise de Sequência de DNA/métodos , Software , Controle de Qualidade , Reprodutibilidade dos TestesRESUMO
Trypanosoma cruzi is the epidemiological agent of Chagas' disease, affecting most of Central and South America, constituting a significant health and socio-economic problem. The parasite has a metabolism largely based on the consumption of amino acids, which participate in a diversity of metabolic pathways, leading to many crucial compounds for the survival of this parasite. Study of its enzymes has the potential to disclose new therapeutic targets and foster the development of new drugs. In this study, we employed computational approaches to reconstruct in silico the amino acid metabolic pathways of T. cruzi, aiming to link genomic information with functional information. For that, protein sequences from 570 EC classes belonging to 25 different pathways in general amino acid metabolism were downloaded from KEGG. A subset of 471 EC classes had at least one sequence deposited. Clustering of the proteins belonging to each EC class was performed using a similarity-based approach implemented in the tool AnEnPi. Reconstruction of the metabolic pathways comprising the amino acid metabolism of T. cruzi was performed by analyzing the output of BLASTP, using as query the dataset of predicted proteins of T. cruzi against all sequences of each individual cluster. This approach allowed us to identify 764 T. cruzi proteins probably involved in the metabolism of amino acids as well as the identification of several putative cases of analogy. Furthermore, we were able to identify several enzymatic activities of T. cruzi that were not previously included in KEGG.