Demo Data from EDBT 2026 / reviewers in the wild / expert
Chan-Hsien Lin
dblp:143/4987
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2014
—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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
genomics |
0.2 | 1 | 2014 | NCS: incorporating positioning data to quantify nucleosome stability in yeast · Bioinform. 2014 |
Bioinformatics and computational biology › epigenomics › chromatin analysis
nucleosome positioning |
0.2 | 1 | 2014 | NCS: incorporating positioning data to quantify nucleosome stability in yeast · Bioinform. 2014 |
Bioinformatics and computational biology › sequence analysis
sequencing data analysis |
0.2 | 1 | 2014 | NCS: incorporating positioning data to quantify nucleosome stability in yeast · Bioinform. 2014 |
Methods — techniques the papers use, named apart from their topics
nucleosome center scoring · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2014 | NCS: incorporating positioning data to quantify nucleosome stability in yeastabstractMOTIVATION: With the spreading technique of mass sequencing, nucleosome positions and scores for their intensity have become available through several previous studies in yeast, but relatively few studies have specifically aimed to determine the score of nucleosome stability. Based on mass sequencing data, we proposed a nucleosome center score (NCS) for quantifying nucleosome stability by measuring shifts of the nucleosome center, and then mapping NCS scores to nucleosome positions in Brogaard et al.'s study. RESULTS: We demonstrated the efficiency of NCS by known preference of A/T-based tracts for nucleosome formation, and showed that central nucleosomal DNA is more sensitive to A/T-based tracts than outer regions, which corresponds to the central histone tetramer-dominated region. We also found significant flanking preference around nucleosomal DNA for A/T-based dinucleotides, suggesting that neighboring sequences could affect nucleosome stability. Finally, the difference between results of NCS and Brogaard et al.'s scores was addressed and discussed. CONTACTS: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Jung-Hsien Chiang, Chan-Hsien Lin |
Bioinform. | 2 |