Demo Data from EDBT 2026 / reviewers in the wild / expert
Wange Lu
dblp:37/10999
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · unresolved
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 › epigenomics › chromatin interaction analysis
4c-seq data analysis |
0.2 | 1 | 2016 | w4CSeq: software and web application to analyze 4C-seq data · Bioinform. 2016 |
Bioinformatics and computational biology › epigenomics
chromatin conformation analysis |
0.2 | 1 | 2016 | w4CSeq: software and web application to analyze 4C-seq data · Bioinform. 2016 |
Methods — techniques the papers use, named apart from their topics
statistical analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | w4CSeq: software and web application to analyze 4C-seq dataabstractCircularized Chromosome Conformation Capture followed by deep sequencing (4C-Seq) is a powerful technique to identify genome-wide partners interacting with a pre-specified genomic locus. Here, we present a computational and statistical approach to analyze 4C-Seq data generated from both enzyme digestion and sonication fragmentation-based methods. We implemented a command line software tool and a web interface called w4CSeq, which takes in the raw 4C sequencing data (FASTQ files) as input, performs automated statistical analysis and presents results in a user-friendly manner. Besides providing users with the list of candidate interacting sites/regions, w4CSeq generates figures showing genome-wide distribution of interacting regions, and sketches the enrichment of key features such as TSSs, TTSs, CpG sites and DNA replication timing around 4C sites. AVAILABILITY AND IMPLEMENTATION: Users can establish their own web server by downloading source codes at https://github.com/WGLab/w4CSeq Additionally, a demo web server is available at http://w4cseq.wglab.org CONTACT: [email protected] or [email protected] information: Supplementary data are available at Bioinformatics online. Mingyang Cai, Wange Lu, Kai Wang 0063 |
Bioinform. | 3 |