Demo Data from VLDB 2026 / reviewers in the wild / expert
Alban Lermine
dblp:119/6556
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › epigenomics
ChIP-seq analysis |
0.1 | 1 | 2012 | Nebula - a web-server for advanced ChIP-seq data analysis · Bioinform. 2012 |
Bioinformatics and computational biology › sequence analysis
motif discovery |
0.1 | 1 | 2012 | Nebula - a web-server for advanced ChIP-seq data analysis · Bioinform. 2012 |
Bioinformatics and computational biology › epigenomics › ChIP-seq analysis
peak calling |
0.1 | 1 | 2012 | Nebula - a web-server for advanced ChIP-seq data analysis · Bioinform. 2012 |
Bioinformatics and computational biology › epigenomics › ChIP-seq analysis
peak annotation |
0.0 | 1 | 2012 | Nebula - a web-server for advanced ChIP-seq data analysis · Bioinform. 2012 |
Methods — techniques the papers use, named apart from their topics
galaxy · 0.1findpeaks · 0.1ChIPMunk · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2012 | Nebula - a web-server for advanced ChIP-seq data analysisabstractMOTIVATION: ChIP-seq consists of chromatin immunoprecipitation and deep sequencing of the extracted DNA fragments. It is the technique of choice for accurate characterization of the binding sites of transcription factors and other DNA-associated proteins. We present a web service, Nebula, which allows inexperienced users to perform a complete bioinformatics analysis of ChIP-seq data. RESULTS: Nebula was designed for both bioinformaticians and biologists. It is based on the Galaxy open source framework. Galaxy already includes a large number of functionalities for mapping reads and peak calling. We added the following to Galaxy: (i) peak calling with FindPeaks and a module for immunoprecipitation quality control, (ii) de novo motif discovery with ChIPMunk, (iii) calculation of the density and the cumulative distribution of peak locations relative to gene transcription start sites, (iv) annotation of peaks with genomic features and (v) annotation of genes with peak information. Nebula generates the graphs and the enrichment statistics at each step of the process. During Steps 3-5, Nebula optionally repeats the analysis on a control dataset and compares these results with those from the main dataset. Nebula can also incorporate gene expression (or gene modulation) data during these steps. In summary, Nebula is an innovative web service that provides an advanced ChIP-seq analysis pipeline providing ready-to-publish results. AVAILABILITY: Nebula is available at http://nebula.curie.fr/ SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Valentina Boeva, Alban Lermine, Camille Barette, Christel Guillouf, Emmanuel Barillot |
Bioinform. | 2 |