Demo Data from EDBT 2026 / reviewers in the wild / expert
Bob Strome
dblp:157/3318
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2015
—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
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 › bioimage informatics
high-throughput image analysis |
0.2 | 1 | 2015 | Local statistics allow quantification of cell-to-cell variability from high-throughput microscope images · Bioinform. 2015 |
Bioinformatics and computational biology
systems biology |
0.2 | 1 | 2015 | Local statistics allow quantification of cell-to-cell variability from high-throughput microscope images · Bioinform. 2015 |
Methods — techniques the papers use, named apart from their topics
local statistics · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Local statistics allow quantification of cell-to-cell variability from high-throughput microscope imagesabstractAbstract Motivation: Quantifying variability in protein expression is a major goal of systems biology and cell-to-cell variability in subcellular localization pattern has not been systematically quantified. Results: We define a local measure to quantify cell-to-cell variability in high-throughput microscope images and show that it allows comparable measures of variability for proteins with diverse subcellular localizations. We systematically estimate cell-to-cell variability in the yeast GFP collection and identify examples of proteins that show cell-to-cell variability in their subcellular localization. Conclusions: Automated image analysis methods can be used to quantify cell-to-cell variability in microscope images. Contact: [email protected] Availability and Implementation: Software and data are available at http://www.moseslab.csb.utoronto.ca/louis-f/ Supplementary information: Supplementary data are available at Bioinformatics online. Louis-François Handfield, Bob Strome, Yolanda T. Chong, Alan M. Moses |
Bioinform. | 2 |
| 2014 | Detecting Functional Divergence after Gene Duplication through Evolutionary Changes in Posttranslational Regulatory SequencesabstractGene duplication is an important evolutionary mechanism that can result in functional divergence in paralogs due to neo-functionalization or sub-functionalization. Consistent with functional divergence after gene duplication, recent studies have shown accelerated evolution in retained paralogs. However, little is known in general about the impact of this accelerated evolution on the molecular functions of retained paralogs. For example, do new functions typically involve changes in enzymatic activities, or changes in protein regulation? Here we study the evolution of posttranslational regulation by examining the evolution of important regulatory sequences (short linear motifs) in retained duplicates created by the whole-genome duplication in budding yeast. To do so, we identified short linear motifs whose evolutionary constraint has relaxed after gene duplication with a likelihood-ratio test that can account for heterogeneity in the evolutionary process by using a non-central chi-squared null distribution. We find that short linear motifs are more likely to show changes in evolutionary constraints in retained duplicates compared to single-copy genes. We examine changes in constraints on known regulatory sequences and show that for the Rck1/Rck2, Fkh1/Fkh2, Ace2/Swi5 paralogs, they are associated with previously characterized differences in posttranslational regulation. Finally, we experimentally confirm our prediction that for the Ace2/Swi5 paralogs, Cbk1 regulated localization was lost along the lineage leading to SWI5 after gene duplication. Our analysis suggests that changes in posttranslational regulation mediated by short regulatory motifs systematically contribute to functional divergence after gene duplication. Alex N. Nguyen Ba, Bob Strome, Jun Jie Hua, Jonathan Desmond, Isabelle Gagnon-Arsenault, Eric L. Weiss, Christian R. Landry, Alan M. Moses |
PLoS Comput. Biol. | 2 |