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Algorithms for Computational Biology: Second International by Adrian-Horia Dediu, Francisco Hernández-Quiroz, Carlos

By Adrian-Horia Dediu, Francisco Hernández-Quiroz, Carlos Martín-Vide, David A. Rosenblueth

This booklet constitutes the court cases of the second one foreign convention on Algorithms for Computational Biology, AICoB 2015, held in Mexico urban, Mexico, in August 2015.

The eleven papers offered during this quantity have been conscientiously reviewed and chosen from 23 submissions. They have been geared up in topical sections named: genetic processing; molecular recognition/prediction; and phylogenetics.

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Additional info for Algorithms for Computational Biology: Second International Conference, AlCoB 2015, Mexico City, Mexico, August 4-5, 2015, Proceedings

Example text

Furthermore, there are local interactions that can occur between specific nucleotide sequences and the underlying cellular mechanisms which need to be considered. And there are usually some pragmatic constraints from the specific lab or experimental setting in which the actual biological experiments are to be performed. Biocompilation has been addressed by a number of projects in recent years. Genocad [2] uses a context-free grammar for constraining sequence building and also verifying existing sequences.

PLoS ONE 6(4), e18882 (2011). 0018882 3. Biofab: Data Access Web Service (2015). org/data 4. : A syntactic model to design and verify synthetic genetic constructs derived from standard biological parts. Bioinformatics 23(20), 2760–2767 (2007). 1093/bioinformatics/btm446 5. : Realizing the potential of synthetic biology. Nat. Rev. Mol. Cell Biol. 15(4), 289–294 (2014). 1038/nrm3767 6. : Programming cells: towards an automated ‘genetic compiler’. Curr. Opin. Biotechnol. 21(4), 572–581 (2010). 2010.

Acad. Sci. A 105(1), 129–134 (2008) 5. : Predicting protein ligand binding sites by combining evolutionary sequence conservation and 3d structure. PLoS Comput. Biol. 5(12), e1000585 (2009) 6. : A critical comparative assessment of predictions of protein-binding sites for biologically relevant organic compounds. Structure (London, England: 1993) 19(5), 613–621 (2011) 7. : Ligandrfs: random forest ensemble to identify ligand-binding residues from sequence information alone. BMC Bioinform. 15(15), S4 (2014) 8.

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