Demo Data from EDBT 2026 / reviewers in the wild / expert
Xuzhang Zhang
dblp:216/4639
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2018
—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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › genomics › high-throughput sequencing
pooled sequencing |
0.3 | 1 | 2018 | Estimation of QTL heritability based on pooled sequencing data · Bioinform. 2018 |
Bioinformatics and computational biology › statistical genetics
quantitative trait locus mapping |
0.3 | 1 | 2018 | Estimation of QTL heritability based on pooled sequencing data · Bioinform. 2018 |
Methods — techniques the papers use, named apart from their topics
maximum likelihood estimation · 0.3bulked segregant analysis · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | Estimation of QTL heritability based on pooled sequencing dataabstractMotivation: Bulked segregant analysis combined with next generation sequencing has proven to be a simple and efficient approach for fast mapping of quantitative trait loci (QTLs). However, how to estimate the proportion of phenotypic variance explained by a QTL (or termed QTL heritability) in such pooled QTL mapping is an unsolved problem. Results: In this paper, we propose a method called PQHE to estimate QTL heritability using pooled sequencing data obtained under different experimental designs. Simulation studies indicated that our method is correct and feasible. Four practical examples from rice and yeast are demonstrated, each representing a different situation. Availability and implementation: The R scripts of our method are open source under GPLv3 license at http://genetics.fafu.edu.cn/PQHE or https://github.com/biotangweiqi/PQHE. The R scripts require the R package rootSolve. Contact: [email protected]. Supplementary information: Supplementary data are available at Bioinformatics online. Weiqi Tang, Likun Huang, Suhong Bu, Xuzhang Zhang |
Bioinform. | 4 |