Demo Data from VLDB 2026 / reviewers in the wild / expert
Joel McManus
dblp:178/2932
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 2
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 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › transcriptomics › transcript isoform analysis
isoform quantification |
0.2 | 1 | 2016 | Isoform-level ribosome occupancy estimation guided by transcript abundance with Ribomap · Bioinform. 2016 |
Bioinformatics and computational biology › transcriptomics
ribosome profiling |
0.2 | 1 | 2016 | Isoform-level ribosome occupancy estimation guided by transcript abundance with Ribomap · Bioinform. 2016 |
Bioinformatics and computational biology
transcriptomics |
0.2 | 1 | 2016 | Isoform-level ribosome occupancy estimation guided by transcript abundance with Ribomap · Bioinform. 2016 |
Bioinformatics and computational biology › RNA biology
translation |
0.2 | 1 | 2016 | Accurate Recovery of Ribosome Positions Reveals Slow Translation of Wobble-Pairing Codons in Yeast · RECOMB 2016 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2016 | Accurate Recovery of Ribosome Positions Reveals Slow Translation of Wobble-Pairing Codons in Yeast
Hao Wang 0024, Joel McManus, Carl Kingsford |
RECOMB | 2 |
| 2016 | Isoform-level ribosome occupancy estimation guided by transcript abundance with RibomapabstractUNLABELLED: : Ribosome profiling is a recently developed high-throughput sequencing technique that captures approximately 30 bp long ribosome-protected mRNA fragments during translation. Because of alternative splicing and repetitive sequences, a ribosome-protected read may map to many places in the transcriptome, leading to discarded or arbitrary mappings when standard approaches are used. We present a technique and software that addresses this problem by assigning reads to potential origins proportional to estimated transcript abundance. This yields a more accurate estimate of ribosome profiles compared with a naïve mapping. AVAILABILITY AND IMPLEMENTATION: Ribomap is available as open source at http://www.cs.cmu.edu/∼ckingsf/software/ribomap CONTACT: [email protected] SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Hao Wang 0024, Joel McManus, Carl Kingsford |
Bioinform. | 2 |