Name
Abstract | ||
|---|---|---|
Counting the occurrence frequency of each k-mer in a biological sequence is a preliminary yet important step in many bioinformatics applications. However, most k-mer counting algorithms rely on a given k to produce single-length k-mers, which is inefficient for sequence analysis for different k. Moreover, existing k-mer counters focus more on DNA and RNA sequences and less on protein ones. In prac... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/TCBB.2018.2828313 | IEEE/ACM Transactions on Computational Biology and Bioinformatics |
Keywords | DocType | Volume |
Proteins,Indexes,Data structures,Sequences,Data mining | Journal | 17 |
Issue | ISSN | Citations |
3 | 1545-5963 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jingsong Zhang | 1 | 38 | 3.26 |
| Jianmei Guo | 2 | 390 | 22.80 |
| Ming Zhang | 3 | 0 | 0.68 |
| Xiangtian Yu | 4 | 38 | 4.81 |
| Xiaoqing Yu | 5 | 75 | 11.53 |
| Wei-feng Guo | 6 | 8 | 2.56 |
| Tao Zeng | 7 | 31 | 9.08 |
| Luonan Chen | 8 | 1485 | 145.71 |