Kunzmann, Patrick ; Mayer, Benjamin E. ; Hamacher, Kay (2020)
Substitution matrix based color schemes for sequence alignment visualization.
In: BMC bioinformatics, 21 (1)
doi: 10.1186/s12859-020-3526-6
Artikel, Bibliographie
Dies ist die neueste Version dieses Eintrags.
Kurzbeschreibung (Abstract)
BACKGROUND
Visualization of multiple sequence alignments often includes colored symbols, usually characters encoding amino acids, according to some (physical) properties, such as hydrophobicity or charge. Typically, color schemes are created manually, so that equal or similar colors are assigned to amino acids that share similar properties. However, this assessment is subjective and may not represent the similarity of symbols very well.
RESULTS
In this article we propose a different approach for color scheme creation: We leverage the similarity information of a substitution matrix to derive an appropriate color scheme. Similar colors are assigned to high scoring pairs of symbols, distant colors are assigned to low scoring pairs. In order to find these optimal points in color space a simulated annealing algorithm is employed.
CONCLUSIONS
Using the substitution matrix as basis for a color scheme is consistent with the alignment, which itself is based on the very substitution matrix. This approach allows fully automatic generation of new color schemes, even for special purposes which have not been covered, yet, including schemes for structural alphabets or schemes that are adapted for people with color vision deficiency.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2020 |
| Autor(en): | Kunzmann, Patrick ; Mayer, Benjamin E. ; Hamacher, Kay |
| Art des Eintrags: | Bibliographie |
| Titel: | Substitution matrix based color schemes for sequence alignment visualization. |
| Sprache: | Englisch |
| Publikationsjahr: | 24 Mai 2020 |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | BMC bioinformatics |
| Jahrgang/Volume einer Zeitschrift: | 21 |
| (Heft-)Nummer: | 1 |
| DOI: | 10.1186/s12859-020-3526-6 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | BACKGROUND Visualization of multiple sequence alignments often includes colored symbols, usually characters encoding amino acids, according to some (physical) properties, such as hydrophobicity or charge. Typically, color schemes are created manually, so that equal or similar colors are assigned to amino acids that share similar properties. However, this assessment is subjective and may not represent the similarity of symbols very well. RESULTS In this article we propose a different approach for color scheme creation: We leverage the similarity information of a substitution matrix to derive an appropriate color scheme. Similar colors are assigned to high scoring pairs of symbols, distant colors are assigned to low scoring pairs. In order to find these optimal points in color space a simulated annealing algorithm is employed. CONCLUSIONS Using the substitution matrix as basis for a color scheme is consistent with the alignment, which itself is based on the very substitution matrix. This approach allows fully automatic generation of new color schemes, even for special purposes which have not been covered, yet, including schemes for structural alphabets or schemes that are adapted for people with color vision deficiency. |
| ID-Nummer: | pmid:32448181 |
| Fachbereich(e)/-gebiet(e): | 10 Fachbereich Biologie 10 Fachbereich Biologie > Computational Biology and Simulation |
| Hinterlegungsdatum: | 02 Jun 2020 11:53 |
| Letzte Änderung: | 03 Jul 2024 02:44 |
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Verfügbare Versionen dieses Eintrags
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Substitution matrix based color schemes for sequence alignment visualization. (deposited 18 Sep 2020 09:25)
- Substitution matrix based color schemes for sequence alignment visualization. (deposited 02 Jun 2020 11:53) [Gegenwärtig angezeigt]
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