Demo Data from VLDB 2026 / reviewers in the wild / expert
Theron Hamilton
dblp:254/3565
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · unresolved
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 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology
genome annotation |
0.4 | 1 | 2019 | multiPhATE: bioinformatics pipeline for functional annotation of phage isolates · Bioinform. 2019 |
Bioinformatics and computational biology › genome annotation
phage genome annotation |
0.4 | 1 | 2019 | multiPhATE: bioinformatics pipeline for functional annotation of phage isolates · Bioinform. 2019 |
Methods — techniques the papers use, named apart from their topics
pipeline · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | multiPhATE: bioinformatics pipeline for functional annotation of phage isolatesabstractSUMMARY: To address the need for improved phage annotation tools that scale, we created an automated throughput annotation pipeline: multiple-genome Phage Annotation Toolkit and Evaluator (multiPhATE). multiPhATE is a throughput pipeline driver that invokes an annotation pipeline (PhATE) across a user-specified set of phage genomes. This tool incorporates a de novo phage gene calling algorithm and assigns putative functions to gene calls using protein-, virus- and phage-centric databases. multiPhATE's modular construction allows the user to implement all or any portion of the analyses by acquiring local instances of the desired databases and specifying the desired analyses in a configuration file. We demonstrate multiPhATE by annotating two newly sequenced Yersinia pestis phage genomes. Within multiPhATE, the PhATE processing pipeline can be readily implemented across multiple processors, making it adaptable for throughput sequencing projects. Software documentation assists the user in configuring the system. AVAILABILITY AND IMPLEMENTATION: multiPhATE was implemented in Python 3.7, and runs as a command-line code under Linux or Unix. multiPhATE is freely available under an open-source BSD3 license from https://github.com/carolzhou/multiPhATE. Instructions for acquiring the databases and third-party codes used by multiPhATE are included in the distribution README file. Users may report bugs by submitting to the github issues page associated with the multiPhATE distribution. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Carol L. Ecale Zhou, Stephanie Malfatti, Jeffrey A. Kimbrel, Casandra Philipson, Katelyn McNair, Theron Hamilton, Robert A. Edwards, Brian Souza |
Bioinform. | 6 |