Demo Data from EDBT 2026 / reviewers in the wild / expert
Michael A. Loss
dblp:124/1239
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 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
1 paper |
Bioinformatics and computational biology · 77% Medical and health informatics · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › sequence analysis › RNA sequence analysis
microRNA analysis |
0.5 | 1 | 2021 | Tumor IsomiR Encyclopedia (TIE): a pan-cancer database of miRNA isoforms · Bioinform. 2021 |
Methods — techniques the papers use, named apart from their topics
sequence variant aggregation · 0.5database construction · 0.5
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Tumor IsomiR Encyclopedia (TIE): a pan-cancer database of miRNA isoformsabstractSUMMARY: MicroRNAs (miRNAs) are master regulators of gene expression in cancers. Their sequence variants or isoforms (isomiRs) are highly abundant and possess unique functions. Given their short sequence length and high heterogeneity, mapping isomiRs can be challenging; without adequate depth and data aggregation, low frequency events are often disregarded. To address these challenges, we present the Tumor IsomiR Encyclopedia (TIE): a dynamic database of isomiRs from over 10 000 adult and pediatric tumor samples in The Cancer Genome Atlas (TCGA) and The Therapeutically Applicable Research to Generate Effective Treatments (TARGET) projects. A key novelty of TIE is its ability to annotate heterogeneous isomiR sequences and aggregate the variants obtained across all datasets. Results can be browsed online or downloaded as spreadsheets. Here, we show analysis of isomiRs of miR-21 and miR-30a to demonstrate the utility of TIE. AVAILABILITY AND IMPLEMENTATION: TIE search engine and data are freely available to use at https://isomir.ccr.cancer.gov/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Xavier Bofill-De Ros, Brian T. Luke, Robert Guthridge, Uma Mudunuri, Michael A. Loss, Shuo Gu |
Bioinform. | 5 |