Name
Abstract | ||
|---|---|---|
Entropy, being closely related to repetitiveness and compressibility, is a widely used information-related measure to assess the degree of predictability of a sequence. Entropic profiles are based on information theory principles, and can be used to study the under-/over-representation of subwords, by also providing information about the scale of conserved DNA regions. Here, we focus on the algori... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TCBB.2016.2620143 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | Field | DocType |
Entropy,Arrays,Algorithm design and analysis,Sequences,Biological information theory,Standards | Information theory,String searching algorithm,Data structure,Suffix,Computer science,Algorithm,Theoretical computer science,Suffix array,Suffix tree,Bioinformatics,Generalized suffix tree,Compressed suffix array | Journal |
Volume | Issue | ISSN |
15 | 1 | 1545-5963 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cinzia Pizzi | 1 | 139 | 15.73 |
| Ornamenti Mattia | 2 | 0 | 0.34 |
| Spangaro Simone | 3 | 0 | 0.34 |
| Simona E. Rombo | 4 | 192 | 22.21 |
| Laxmi Parida | 5 | 773 | 77.21 |