Demo Data from SIGIR 2026 / reviewers in the wild / expert
Yiyang Mao
dblp:261/4744
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2020
—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 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › gene regulation › microRNA regulation
microRNA-target interaction |
0.4 | 1 | 2020 | WPMIAS: Whole-degradome-based Plant MicroRNA-target Interaction Analysis Server · Bioinform. 2020 |
Methods — techniques the papers use, named apart from their topics
degradome sequencing analysis · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | WPMIAS: Whole-degradome-based Plant MicroRNA-target Interaction Analysis ServerabstractA critical aspect for exploring the biological function of a microRNA (miRNA) lies on exact detection and validation of its target mRNAs. However, no convenient and efficient web-based server is available for plant biologists to identify the experimentally verified target mRNAs of miRNAs. In this work, we built a comprehensive web-based platform for miRNA-target analysis, named as Whole-degradome-based Plant MiRNA-target Interaction Analysis Server (WPMIAS), for validation of predicted interactions of miRNAs and their target mRNAs (MTIs) by user-submitted data or all available pre-loaded degradome data. Besides, the server can construct degradome-based miRNA regulatory networks (MRNs) based on the validated MTIs to help study the functions and relations among miRNAs and target mRNAs. WPMIAS is also suitable for other small RNAs (sRNAs), such as 21-nt phased siRNAs (phasiRNAs) and natural antisense siRNAs (nat-siRNAs), which direct cleavage of target mRNAs. Currently, WPMIAS supports 64 plant species with ∼200 cDNA libraries and 274 pre-loaded plant degradome datasets. The user can identify all validated MTIs by analyzing all degradome data at a time and understand when and where MTIs take place and their cleavage levels. With the data obtained from WPMIAS, the user can build a plant miRNA-target map, where it is convenient to find interesting research ideas on miRNAs. In summary, WPMIAS is able to support a comprehensive web-based plant miRNA-target analysis and expected to greatly promote future research on plant miRNAs. AVAILABILITY: It can be freely accessed at https://cbi.njau.edu.cn/WPMIAS/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Yuhan Fei, Yiyang Mao, Chengji Shen |
Bioinform. | 2 |