Demo Data from VLDB 2026 / reviewers in the wild / expert
David Zhang 0004
dblp:205/8812-4
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2022
0000-0003-2382-8460ORCID · verified
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2 · 2 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
2 papers |
Bioinformatics and computational biology · 100% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › transcriptomics
isoform expression visualization |
0.6 | 1 | 2022 | ggtranscript: an R package for the visualization and interpretation of transcript isoforms using ggplot2 · Bioinform. 2022 |
Bioinformatics and computational biology
transcriptomics |
0.6 | 1 | 2022 | ggtranscript: an R package for the visualization and interpretation of transcript isoforms using ggplot2 · Bioinform. 2022 |
Bioinformatics and computational biology › sequence analysis › sequencing data analysis
coverage estimation |
0.5 | 1 | 2021 | Megadepth: efficient coverage quantification for BigWigs and BAMs · Bioinform. 2021 |
Bioinformatics and computational biology
genomics |
0.5 | 1 | 2021 | Megadepth: efficient coverage quantification for BigWigs and BAMs · Bioinform. 2021 |
Bioinformatics and computational biology › genomics
genome visualization |
0.2 | 1 | 2022 | ggtranscript: an R package for the visualization and interpretation of transcript isoforms using ggplot2 · Bioinform. 2022 |
Methods — techniques the papers use, named apart from their topics
ggplot2 · 0.6interval summarization · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | ggtranscript: an R package for the visualization and interpretation of transcript isoforms using ggplot2abstractMOTIVATION: The advent of long-read sequencing technologies has increased demand for the visualization and interpretation of transcripts. However, tools that perform such visualizations remain inflexible and lack the ability to easily identify differences between transcript structures. Here, we introduce ggtranscript, an R package that provides a fast and flexible method to visualize and compare transcripts. As a ggplot2 extension, ggtranscript inherits the functionality and familiarity of ggplot2 making it easy to use. AVAILABILITY AND IMPLEMENTATION: ggtranscript is an R package available at https://github.com/dzhang32/ggtranscript (DOI: https://doi.org/10.5281/zenodo.6374061) via an open-source MIT licence. Further documentation is available at https://dzhang32.github.io/ggtranscript/. Emil K. Gustavsson, David Zhang 0004, Regina H. Reynolds, Sonia García-Ruíz, Mina Ryten |
Bioinform. | 2 |
| 2021 | Megadepth: efficient coverage quantification for BigWigs and BAMsabstractMOTIVATION: A common way to summarize sequencing datasets is to quantify data lying within genes or other genomic intervals. This can be slow and can require different tools for different input file types. RESULTS: Megadepth is a fast tool for quantifying alignments and coverage for BigWig and BAM/CRAM input files, using substantially less memory than the next-fastest competitor. Megadepth can summarize coverage within all disjoint intervals of the Gencode V35 gene annotation for more than 19 000 GTExV8 BigWig files in approximately 1 h using 32 threads. Megadepth is available both as a command-line tool and as an R/Bioconductor package providing much faster quantification compared to the rtracklayer package. AVAILABILITY AND IMPLEMENTATION: https://github.com/ChristopherWilks/megadepth, https://bioconductor.org/packages/megadepth. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Christopher Wilks, Omar Y. Ahmed, Daniel N. Baker, David Zhang 0004, Leonardo Collado-Torres, Ben Langmead |
Bioinform. | 4 |