CORE
CO
nnecting
RE
positories
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Research partnership
About
About
About us
Our mission
Team
Blog
FAQs
Contact us
Community governance
Governance
Advisory Board
Board of supporters
Research network
Innovations
Our research
Labs
dataset
Number of reads and OTUs obtained by clustering the BioMarKs sequences at 97% similarity cut-off.
Authors
Adriana Zingone (248480)
Deepak Nanjappa (617434)
+3 more
Sarah Romac (114117)
Stephane Audic (5660221)
Wiebe H. C. F. Kooistra (451006)
Publication date
18 August 2014
Publisher
Doi
Abstract
a<p>percentage over all BioMarKs sequences.</p>b<p>percentage over all BioMarKs diatom sequences.</p>c<p>ambiguously distinguishable in V4 sequences.</p>d<p>identified only among V4 sequences.</p
Similar works
Full text
Available Versions
The Francis Crick Institute
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:figshare.com:article/11435...
Last time updated on 12/02/2018