Skip to main navigation
Skip to search
Skip to main content
WashU Medicine Research Profiles Home
Help & FAQ
Home
Profiles
Departments, Divisions and Centers
Research output
Search by expertise, name or affiliation
Repositories for taxonomic data: Where we are and what is missing
Aurélien Miralles
, Teddy Bruy
, Katherine Wolcott
, Mark D. Scherz
, Dominik Begerow
, Bank Beszteri
, Michael Bonkowski
, Janine Felden
, Birgit Gemeinholzer
, Frank Glaw
, Frank Oliver Glöckner
, Oliver Hawlitschek
, Ivaylo Kostadinov
, Tim W. Nattkemper
, Christian Printzen
, Jasmin Renz
, Nataliya Rybalka
, Marc Stadler
, Tanja Weibulat
, Thomas Wilke
Susanne S. Renner
, Miguel Vences
Show 2 others
Show less
Department of Biology
Roy and Diana Vagelos Division of Biology & Biomedical Sciences (DBBS)
DBBS - Evolution, Ecology and Population Biology
Research output
:
Contribution to journal
›
Review article
›
peer-review
64
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Repositories for taxonomic data: Where we are and what is missing'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Taxonomist
100%
Taxonomic Study
100%
Taxonomic Data
100%
Species Identification
66%
Molecular Data
66%
Cyberspecimen
66%
Alpha Taxonomy
66%
Vertebrates
33%
Chemical Data
33%
Information Content
33%
High-throughput Methods
33%
Omics
33%
High-throughput Data
33%
Metabolomics Data
33%
Large-scale Projects
33%
Machine Learning Based
33%
Data Storage
33%
Cost-free
33%
Non-professional
33%
Transcriptome Assembly
33%
Genome Assembly
33%
DNA Barcoding
33%
Image Metadata
33%
Natural History Collections
33%
Taxonomic Assignment
33%
Linking Data
33%
Findable
33%
Existing Infrastructure
33%
Species Delimitation
33%
3D Documentation
33%
Big Data Science
33%
Online Storage
33%
Footprint Reduction
33%
Digitization
33%
Archiving Strategy
33%
Million Images
33%
Energy Footprint
33%
Via-less
33%
Species Diagnosis
33%
Metabarcoding
33%
Evolutionary Relatedness
33%
Specimen Digitization
33%
Virtual Collections
33%
Agricultural and Biological Sciences
Metabolomics
100%
Transcriptome
100%
Natural History
100%
Species Identification
100%
DNA Barcoding
100%
Tamsulosin
100%
Plant Biology
100%
Learning System
100%
Machine Learning
100%
Metabarcoding
100%
Immunology and Microbiology
Transcriptome
100%
Species Identification
100%
Taxon
100%
DNA Barcoding
100%