Demo Data from SIGIR 2026 / reviewers in the wild / expert
Jingbo Tang
dblp:146/9830
· DBLP profile ↗
2ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 1 since 2021Applied, 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 › transcriptomics › transcript assembly
de novo transcriptome assembly |
0.2 | 1 | 2014 | SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads · Bioinform. 2014 |
Bioinformatics and computational biology › sequence analysis › sequence assembly
transcriptome assembly |
0.2 | 1 | 2014 | SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq reads · Bioinform. 2014 |
Methods — techniques the papers use, named apart from their topics
de bruijn graph assembly · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Analogue RoF-enabled HetNet architecture for hybrid Li-Fi/Wi-Fi indoor access
Jingbo Tang, Xiongbo Cao, Kaiye Huang, Yanfu Yang, Yichuan Li 0003 |
Comput. Networks | 1 |
| 2014 | SOAPdenovo-Trans: de novo transcriptome assembly with short RNA-Seq readsabstractMOTIVATION: Transcriptome sequencing has long been the favored method for quickly and inexpensively obtaining a large number of gene sequences from an organism with no reference genome. Owing to the rapid increase in throughputs and decrease in costs of next- generation sequencing, RNA-Seq in particular has become the method of choice. However, the very short reads (e.g. 2 × 90 bp paired ends) from next generation sequencing makes de novo assembly to recover complete or full-length transcript sequences an algorithmic challenge. RESULTS: Here, we present SOAPdenovo-Trans, a de novo transcriptome assembler designed specifically for RNA-Seq. We evaluated its performance on transcriptome datasets from rice and mouse. Using as our benchmarks the known transcripts from these well-annotated genomes (sequenced a decade ago), we assessed how SOAPdenovo-Trans and two other popular transcriptome assemblers handled such practical issues as alternative splicing and variable expression levels. Our conclusion is that SOAPdenovo-Trans provides higher contiguity, lower redundancy and faster execution. AVAILABILITY AND IMPLEMENTATION: Source code and user manual are available at http://sourceforge.net/projects/soapdenovotrans/. Yinlong Xie, Gengxiong Wu, Jingbo Tang, Ruibang Luo, Jordan Patterson, Shanlin Liu, Weihua Huang, Guangzhu He, Shengchang Gu, Shengkang Li, Tak Wah Lam, Yingrui Li, Gane Ka-Shu Wong, Jun Wang 0004 |
Bioinform. | 3 |