CORE
🇺🇦Â
 make metadata, not war
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
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
An integrated computational-experimental approach reveals Yersinia pestis genes essential across a narrow or a broad range of environmental conditions
Authors
A Barve
A Canavessi
+80Â more
A Chalker
AJ Vogler
Andrew E. Scott
B Green
B Roche
BA Chromy
C Freiberg
CF Beck
CL Ginther
D Bossemeyer
D Panda
DM Heithoff
FM Mobegi
G Basler
G Wang
GR Cornelis
H Himeno
H Yu
Helen L Bullifent
Helen S. Atkins
I Thiele
J Fricke
J Lodge
J Mecsas
J Parkhill
J Seo
J Su
J Sun
J Velayudhan
JB Parsons
JH Moffatt
K Connolly
KA Klein
Kalesh Sasidharan
Karen Moore
KJ Babinski
L Jelsbak
L Zhan
M Galimand
M Vanaporn
MC Chao
Mitali Sarkar-Tyson
ML Vasil
MS Dillingham
N Dahal
NA Okan
NC Martinez-Gomez
Nicola J. Senior
NJ Walker
Orkun S. Soyer
P Charusanti
PE Taschner
Petra C. F. Oyston
Philip M. Ireland
R Harrison
RA Rienksma
RD Perry
RF Conchas
Richard J. Saint
Richard W. Titball
RR Brubaker
S Chauvaux
SG Palace
T Butler
T Opijnen van
T Opperman
TA Mendum
Timothy P. Atkins
TL Johnson
TV Inglesby
U Tokumoto
VL Motin
VL Robinson
W Deng
W Sun
W Sun
Y Han
YM Zhang
Z. Rong Yang
ZR Yang
Publication date
Publisher
'Springer Science and Business Media LLC'
Doi
Cite
Abstract
Abstract is not available.
Similar works
Full text
Available Versions
Crossref
See this paper in CORE
Go to the repository landing page
Download from data provider
info:doi/10.1186%2Fs12866-017-...
Last time updated on 05/06/2019