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Ziwei Luo 0001

dblp:166/7005-1 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2022
0000-0002-1719-7474ORCID · verified

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 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
epigenomics
0.612022
MeRIPseqPipe: an integrated analysis pipeline for MeRIP-seq data based on Nextflow · Bioinform. 2022
Bioinformatics and computational biology › transcriptomics › epitranscriptomics
MeRIP-seq data analysis
0.612022
MeRIPseqPipe: an integrated analysis pipeline for MeRIP-seq data based on Nextflow · Bioinform. 2022
Bioinformatics and computational biology › sequence analysis › sequencing data processing
read preprocessing
0.212022
MeRIPseqPipe: an integrated analysis pipeline for MeRIP-seq data based on Nextflow · Bioinform. 2022
Bioinformatics and computational biology
sequence analysis
0.212022
MeRIPseqPipe: an integrated analysis pipeline for MeRIP-seq data based on Nextflow · Bioinform. 2022

Methods — techniques the papers use, named apart from their topics

nextflow · 0.6docker · 0.6
YearPublicationVenuePosition
2022 MeRIPseqPipe: an integrated analysis pipeline for MeRIP-seq data based on Nextflow
abstract
SUMMARY: MeRIPseqPipe is an integrated and automatic pipeline that can provide users a friendly solution to perform in-depth mining of MeRIP-seq data. It integrates many functional analysis modules, range from basic processing to downstream analysis. All the processes are embedded in Nextflow with Docker support, which ensures high reproducibility and scalability of the analysis. MeRIPseqPipe is particularly suitable for analyzing a large number of samples at once with a simple command. The final output directory is structured based on each step and tool. And visualization reports containing various tables and plots are provided as HTML files. AVAILABILITY AND IMPLEMENTATION: MeRIPseqPipe is freely available at https://github.com/canceromics/MeRIPseqPipe. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Xiaoqiong Bao, Kaiyu Zhu, Xuefei Liu, Zhihang Chen 0002, Ziwei Luo 0001, Qi Zhao 0009, Jian Ren 0002, Zhixiang Zuo
Bioinform.5