Portais Web desenvolvidos no laboratório de bioinformática da Embrapa Soja.

bitstream/item/71973/1/ID-30955.pd

Sistema Web para estimativas de perdas por seca na cultura da soja.

bitstream/item/71974/1/ID-30954.pd

Abordagem computacional para a identificação de elementos cis-regulatóriso no genoma da soja.

bitstream/item/71511/1/ID-31371.pd

Abordagem computacional para a identificação de elementos cis-regulatórios no genoma da soja.

bitstream/item/71812/1/ID-30970.pd

Soybean gene express: plataforma para análise de expressão diferencial e bibliotecas substrativas de cDNA.

bitstream/item/71550/1/ID-30973.pd

A new single nucleotide polymorphism in the ryanodine gene of chicken skeletal muscle.

Some genes affect meat quality in chickens. We looked for polymorphisms in the Gallus gallus α-RyR gene (homologous to RyR 1) that could be associated with PSE (pale, soft and exudative) meat. Because RyR genes are over 100,000 bp long and code for proteins with about 5000 amino acids, primers were designed to amplify a fragment of hotspot region 2, a region with a high density of mutations in other species. Total blood DNA was extracted from 50 birds, 25 that had PSE meat and 25 normal chickens. The DNA samples were amplified by PCR, cloned, sequenced, and used to identify single nucleotide polymorphisms (SNPs). The amplified fragment of α-RyR was 604 nucleotides in length; 181 nucleotides were similar to two exons from a hypothetical turkey cDNA sequence for α-RyR. A non-synonymous nucleotide substitution (G/A) was identified in at least one of the three sequenced clones obtained from nine animals, six PSE (HAL+) birds and three normal (HAL-) birds; they were heterozygous for this mutation

A web-based bioinformatics interface applied to the GENOSOJA Project: databases and pipelines.

The Genosoja consortium is an initiative to integrate different omics research approaches carried out in Brazil. Basically, the aim of the project is to improve the plant by identifying genes involved in responses against stresses that affect domestic production, like drought stress and Asian Rust fungal disease. To do so, the project generated several types of sequence data using different methodologies, most of them sequenced by next generation sequencers. The initial stage of the project is highly dependent on bioinformatics analysis, providing suitable tools and integrated databases. In this work, we describe the main features of the Genosoja web database, including the pipelines to analyze some kinds of data (ESTs, SuperSAGE, microRNAs, subtractive cDNA libraries), as well as web interfaces to access information about soybean gene annotation and expression