Demo Data from EDBT 2026 / reviewers in the wild / expert
Anantha Barathi Muthukrishnan
dblp:56/11190
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
0000-0003-1178-1327ORCID · reported
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › single-cell analysis
cell lineage analysis |
0.2 | 1 | 2013 | CellAging: a tool to study segregation and partitioning in division in cell lineages of Escherichia coli · Bioinform. 2013 |
Bioinformatics and computational biology › bioimage informatics › bioimage analysis › microscopy image analysis
cell segmentation and tracking |
0.2 | 1 | 2013 | CellAging: a tool to study segregation and partitioning in division in cell lineages of Escherichia coli · Bioinform. 2013 |
Bioinformatics and computational biology › microbiology
escherichia coli |
0.0 | 1 | 2013 | CellAging: a tool to study segregation and partitioning in division in cell lineages of Escherichia coli · Bioinform. 2013 |
Methods — techniques the papers use, named apart from their topics
lineage construction · 0.2image segmentation · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | CellAging: a tool to study segregation and partitioning in division in cell lineages of Escherichia coliabstractMOTIVATION: Cell division in Escherichia coli is morphologically symmetric. However, as unwanted protein aggregates are segregated to the cell poles and, after divisions, accumulate at older poles, generate asymmetries in sister cells' vitality. Novel single-molecule detection techniques allow observing aging-related processes in vivo, over multiple generations, informing on the underlying mechanisms. RESULTS: CellAging is a tool to automatically extract information on polar segregation and partitioning in division of aggregates in E.coli, and on cellular vitality. From time-lapse, parallel brightfield and fluorescence microscopy images, it performs cell segmentation, alignment of brightfield and fluorescence images, lineage construction and pole age determination, and it computes aging-related features. We exemplify its use by analyzing spatial distributions of fluorescent protein aggregates from images of cells across generations. AVAILABILITY: CellAging, instructions and an example are available at http://www.cs.tut.fi/%7esanchesr/cellaging/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Antti Häkkinen, Anantha Barathi Muthukrishnan, André Mora, José Manuel Fonseca, Andre S. Ribeiro |
Bioinform. | 2 |