EventsMOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published
with-doi10.3390/mol2net-06-06883 (registering DOI)
This submission belongs to the session 01. CHEMBIOMOL-06: Chem. Biol. & Med. Chem. Workshop, Bilbao-Rostock, Germany-Galveston, Texas, USA, 2020 of the event MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed.
Published date
20 Jul, 2020
Citation
Guillermin Agüero-Chapin, Evys Ancede Gallardo, SeqDivA: Sequence Diversity Analysis Tool for Detecting the Twilight Zone of Alignment Algorithms, in Proceedings of MOL2NET'20, Conference on Molecular, Biomed., Comput. & Network Science and Engineering, 6th ed., 30 January 2020–30 January 2021, MDPI: Basel, Switzerland, doi: 10.3390/mol2net-06-06883
Share
Email
Facebook
Twitter
LinkedIn

SeqDivA: Sequence Diversity Analysis Tool for Detecting the Twilight Zone of Alignment Algorithms

image
1. CIMAR/CIIMAR, Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade do Porto, Terminal de Cruzeiros do Porto de Leixões, Av. General Norton de Matos s/n 4450-208 Matosinhos, Porto, Portugal.
2. Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
3. Facultad de Ciencias Exactas, Universidad Andrés Bello, República 275, Santiago, Chile
Abstract

Looking into the literature and scientific forums, there isn’t any software that can explore the diversity of a database or a sequence subset by applying the similarity measures reported to delimit the twilight zone according all previously mentioned thresholds. So far, in order to retrieve several similarity measures like identity, similarity and scores in an all-vs-all pairwise sequence comparison, users should run previously software like needle (global alignment), water (local alignment), blast (local alignment) and even multiple sequence alignments (MSAs) tools (http://imed.med.ucm.es/Tools/sias.html), then results should be parsed to be presented in a nxn matrix. However, going through all these steps to get at the final similarity matrix require programming skills.

Here, we present SeqDivA, a python-based tool with a friendly GUI allowing non-expert users to run alignment algorithms (water, needle and blast) to compare all vs all protein, DNA and RNA sequences. SeqDivA provides similarity, identity and bit-score matrixes to explore the diversity/homology of the sequences, enabling the delimitation of the twilight zone. The resulting matrixes are visualized using dot plot-like graphs representing pairwise similarity measures (identities, similarity and bit-scores). SeqDivA also allows redundancy reduction by exploring amino acid identities from global alignments and can be connected to the output of software simulating related sequences with a known evolutionary history i.e. ROSE [1] and INDELible [2] in order to get subsets of homologous sequences at different identities or bit-scores ranges. The software can be freely downloaded at https://github.com/eancedeg/SeqDivA. The software was published as part of the paper published at https://doi.org/10.3390/biom10010026

1- Stoye, J., D. Evers, and F. Meyer, Rose: generating sequence families. Bioinformatics, 1998. 14(2): p. 157-163.

2- Fletcher, W. and Z. Yang, INDELible: a flexible simulator of biological sequence evolution. Mol Biol Evol, 2009. 26(8): p. 1879-88

Keywords
alignment algorithm
twilight zone
sequence diversity
Manuscript
Identification and characterization of Bacillus altitudinis strain KA15 isolated from the Djurdjura Mountains in Kabylia, Algeria
Rosemary (Rosmarinus officinalis) against Streptococcus mutans adhesins