Demo Data from VLDB 2026 / reviewers in the wild / expert
Jordan Brooker
dblp:156/9672
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis
DNA sequence analysis |
0.2 | 1 | 2015 | PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions · Bioinform. 2015 |
Bioinformatics and computational biology › sequence analysis
sequence feature extraction |
0.2 | 1 | 2015 | PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositions · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
autocorrelation coefficients · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | PseKNC-General: a cross-platform package for generating various modes of pseudo nucleotide compositionsabstractSUMMARY: The avalanche of genomic sequences generated in the post-genomic age requires efficient computational methods for rapidly and accurately identifying biological features from sequence information. Towards this goal, we developed a freely available and open-source package, called PseKNC-General (the general form of pseudo k-tuple nucleotide composition), that allows for fast and accurate computation of all the widely used nucleotide structural and physicochemical properties of both DNA and RNA sequences. PseKNC-General can generate several modes of pseudo nucleotide compositions, including conventional k-tuple nucleotide compositions, Moreau-Broto autocorrelation coefficient, Moran autocorrelation coefficient, Geary autocorrelation coefficient, Type I PseKNC and Type II PseKNC. In every mode, >100 physicochemical properties are available for choosing. Moreover, it is flexible enough to allow the users to calculate PseKNC with user-defined properties. The package can be run on Linux, Mac and Windows systems and also provides a graphical user interface. AVAILABILITY AND IMPLEMENTATION: The package is freely available at: http://lin.uestc.edu.cn/server/pseknc. Wei Chen 0064, Xitong Zhang, Jordan Brooker, Hao Lin 0001, Liqing Zhang 0002, Kuo-Chen Chou |
Bioinform. | 3 |