Demo Data from EDBT 2026 / reviewers in the wild / expert
Eric Y. Stutheit-Zhao
dblp:425/2834
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
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 › epigenomics › DNA methylation
DNA methylation analysis |
0.7 | 1 | 2023 | MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis · Bioinform. 2023 |
Bioinformatics and computational biology › epigenomics › DNA methylation › DNA methylation analysis
methylation level estimation |
0.2 | 1 | 2023 | MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis · Bioinform. 2023 |
Bioinformatics and computational biology › sequence analysis
sequencing data analysis |
0.2 | 1 | 2023 | MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysis · Bioinform. 2023 |
Methods — techniques the papers use, named apart from their topics
snakemake · 0.7conda · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | MEDIPIPE: an automated and comprehensive pipeline for cfMeDIP-seq data quality control and analysisabstractSUMMARY: Cell-free methylated DNA immunoprecipitation and high-throughput sequencing (cfMeDIP-seq) has emerged as a promising liquid biopsy technology to detect cancers and monitor treatments. While several bioinformatics tools for DNA methylation analysis have been adapted for cfMeDIP-seq data, an end-to-end pipeline and quality control framework specifically for this data type is still lacking. Here, we present the MEDIPIPE, which provides a one-stop solution for cfMeDIP-seq data quality control, methylation quantification, and sample aggregation. The major advantages of MEDIPIPE are: (i) ease of implementation and reproducibility with Snakemake containerized execution environments that will be automatically deployed via Conda; (ii) flexibility to handle different experimental settings with a single configuration file; and (iii) computationally efficiency for large-scale cfMeDIP-seq profiling data analysis and aggregation. AVAILABILITY AND IMPLEMENTATION: This pipeline is an open-source software under the MIT license and it is freely available at https://github.com/pughlab/MEDIPIPE. Yong Zeng 0001, Wenbin Ye 0002, Eric Y. Stutheit-Zhao, Scott V. Bratman, Trevor J. Pugh, Housheng H. He |
Bioinform. | 3 |