Login
EN
[EN] English
[FR] Français
Login
EN
[EN] English
[FR] Français
Give us feedback
Search and explore
Search
Explore ORBilu
Open Science
Open Science
Open Access
Research Data Management
Definitions
OS Working group
Webinars
Statistics
Help
Your ORBilu journey: new or leaving UL
User Guide
FAQ
Publication list
Document types
Reporting
Training
ORCID
About
About ORBilu
Deposit Mandate
ORBilu team
Impact and visibility
About statistics
About metrics
OAI-PMH
Project history
Legal Information
Data protection
Legal notices
Add a publication
Back
Home
FIGG: Simulating populations of whole genome sequences for heterogeneous data analyses. - 2014
Download
Article (Scientific journals)
FIGG: Simulating populations of whole genome sequences for heterogeneous data analyses.
KILLCOYNE, Sarah
;
DEL SOL MESA, Antonio
2014
•
In
BMC Bioinformatics, 15
(1)
Peer Reviewed verified by ORBi
Permalink
https://hdl.handle.net/10993/16942
DOI
10.1186/1471-2105-15-149
PubMed
24885193
Files (1)
Send to
Details
Statistics
Bibliography
Similar publications
Files
Full Text
1471-2105-15-149.pdf
Publisher postprint (2.72 MB)
Download
All documents in ORBilu are protected by a
user license
.
Send to
RIS
BibTex
APA
Chicago
Permalink
X
Linkedin
copy to clipboard
copied
Details
Research center :
- Luxembourg Centre for Systems Biomedicine (LCSB): Computational Biology (Del Sol Group)
ULHPC - University of Luxembourg: High Performance Computing
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
KILLCOYNE, Sarah
;
University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
DEL SOL MESA, Antonio
;
University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
External co-authors :
no
Language :
English
Title :
FIGG: Simulating populations of whole genome sequences for heterogeneous data analyses.
Publication date :
2014
Journal title :
BMC Bioinformatics
eISSN :
1471-2105
Publisher :
BioMed Central
Volume :
15
Issue :
1
Peer reviewed :
Peer Reviewed verified by ORBi
FnR Project :
FNR4717849 - Insilico Genomes For High-throughput Sequencing Cancer-specific Analysis, 2012 (01/10/2012-14/12/2015) - Sarah Killcoyne
Available on ORBilu :
since 12 June 2014
Statistics
Number of views
268 (13 by Unilu)
Number of downloads
149 (6 by Unilu)
More statistics
Scopus citations
®
7
Scopus citations
®
without self-citations
7
OpenCitations
10
OpenAlex citations
9
WoS citations
™
8
Bibliography
Similar publications
Contact ORBilu