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English Information

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Authors
# Name
1 Natalia Daleffi(natalia.soriani@aluno.ufabc.edu.br)
2 Fernanda Almeida(fernanda.almeida@ufabc.edu.br)
3 Marcella Milazzotto(marcella.milazzotto@ufabc.edu.br)

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Reference
# Reference
1 Baxevanis, A. D. and Bateman, A. (2015). The importance of biological databases in biological discovery. Current Protocols in Bioinformatics, 50(1).
2 Chitwood, J. L., Rincon, G., Kaiser, G. G., Medrano, J. F., and Ross, P. J. (2013). Rna-seq analysis of single bovine blastocysts. BMC Genomics, 14:350.
3 Ca ́novas, A., Rincon, G., Islas-Trejo, A., Wickramasinghe, S., and Medrano, J. F. (2010). Snp discovery in the bovine milk transcriptome using rna-seq technology. Mammalian Genome, 21(11-12):592–598.
4 Danchin, A., Ouzounis, C., Tokuyasu, T., and Zucker, J.-D. (2018). No wisdom in the crowd: genome annotation in the era of big data – current status and future prospects. Microbial Biotechnology, 11(4):588–605.
5 Desai, N., Ploskonka, S., Goodman, L., Austin, C., Goldberg, J., and Falcone, T. (2014). Analysis of embryo morphokinetics, multinucleation and cleavage anomalies using continuous time-lapse monitoring in blastocyst transfer cycles. Reprod Biol En- docrinol, 12:54.
6 Deshpande, D., Chhugani, K., Chang, Y., Karlsberg, A., Loeffler, C., Zhang, J., Muszyn ́ska, A., Munteanu, V., Yang, H., Rotman, J., Tao, L., Balliu, B., Tseng, E., Eskin, E., Zhao, F., Mohammadi, P., P. Łabaj, P., and Mangul, S. (2023). Rna-seq data science: From raw data to effective interpretation. Frontiers in Genetics, 14.
7 Hrdlickova ́,R.,Toloue,M.,andTian,B.(2016). Rna-seqmethodsfortranscriptome analysis: Rna-seq. Wiley Interdisciplinary Reviews: RNA, 8.
8 Lonsdale, J., Thomas, J., Salvatore, M., Phillips, R., Lo, E., Shad, S., Hasz, R., Walters, G., Garcia, F., Young, N., and et al. (2013). The genotype-tissue expression (gtex) project. Nature Genetics, 45(6):580–585.
9 Milazzotto, M. P., Goissis, M. D., Chitwood, J. L., Annes, K., Soares, C. A., Ispada, J., Assumpc ̧a ̃o, M. E. O. , and Ross, P. J. (2016). Early cleavages influence the molecular and the metabolic pattern of individually cultured bovine blastocysts. Mol Reprod Dev., page 54.
10 Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., and Wold, B. (2008). Mapping and quantifying mammalian transcriptomes by rna-seq. Nature Methods, 5.
11 Perampalam, P. and Dick, F. A. (2020). Beavr: A browser-based tool for the exploration and visualization of rna-seq data. BMC Bioinformatics, 21(1).
12 Ullah, S., Rahman, W., Ullah, F., Ahmad, G., Ijaz, M., and Gao, T. (2022). Dbhr: a collection of databases relevant to human research. Future Science OA, 8(3):FSO780.
13 Villalba, G. C. and Matte, U. (2021). Fantastic databases and where to find them: Web ap- plications for researchers in a rush. Genetics and Molecular Biology, 44(2):e20200203.
14 Xu, G., Strong, M. J., Lacey, M. R., Baribault, C., Flemington, E. K., and Taylor, C. M. (2014). Rna compass: A dual approach for pathogen and host transcriptome analysis of rna-seq datasets. PLoS ONE, 9(2).