Promoter prediction

BacPP: a web-based tool for Gram-negative bacterial promoter prediction

deAvila e S. Silva, Notari, D. L., Neis, F. A., Ribeiro, H. G., Echeverrigaray, S., S. Silva, deAvila e, Notari, D. L., Neis, F. A., Ribeiro, H. G., Echeverrigaray, S., S. Silva, deAvila e, Notari, D. L., Neis, F. A., Ribeiro, H. G., and Echeverrigaray, S., BacPP: a web-based tool for Gram-negative bacterial promoter prediction, vol. 15, p. -, 2016.

Bacterial Promoter Prediction (BacPP) is a tool used to predict given sequences as promoters of Gram-negative bacteria according to the σ factor that recognizes it. The first version of BacPP was implemented in Python language in a desktop version without a friendly interface. For this reason, a web version of BacPP is now available with the purpose of improving its usability and availability. The present paper describes the implementation of the web version of this tool, focusing on its software architecture and user functionalities.

Bioinformatic analysis based on the complete coding region of the MSTN gene within and among different species

X. C. Song, Xu, C., Yue, Z. G., Wang, L., Wang, G. W., Yang, F. H., Song, X. C., Xu, C., Yue, Z. G., Wang, L., Wang, G. W., Yang, F. H., Song, X. C., Xu, C., Yue, Z. G., Wang, L., Wang, G. W., and Yang, F. H., Bioinformatic analysis based on the complete coding region of the MSTN gene within and among different species, vol. 15, p. -, 2016.

Myostatin, encoded by the MSTN gene (previously GDF8), is a member of the transforming growth factor-β superfamily, which normally acts to limit skeletal muscle mass by regulating the number and growth of muscle fibers. In this study, a total of 84 myostatin gene sequences with known complete coding regions (CDS) and corresponding amino acid sequences were analyzed from 17 species, and differentiation within and among species was studied using comparative genomics and bioinformatics. Characteristics of the nucleotide and amino acid sequences were also predicted.

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