FN Archimer Export Format
PT J
TI ASPICov: An automated pipeline for identification of SARS-Cov2 nucleotidic variants
BT 
AF Tilloy, Valentin
   Cuzin, Pierre
   Leroi, Laura
   Guérin, Emilie
   DURAND, Patrick
   Alain, Sophie
AS 1:1;2:2;3:2;4:3;5:2;6:1;
FF 1:;2:PDG-IRSI-RIC;3:PDG-IRSI-SEBIMER;4:;5:PDG-IRSI-SEBIMER;6:;
C1 Centre National de Référence des Herpèsvirus, CHU Dupuytren, Limoges, France, UF9481 Bioinformatique, CHU Dupuytren, Limoges, France, UF8843 Génomique médicale, CHU Dupuytren, Limoges, France
   IFREMER-IRSI-Service de Bioinformatique, Centre Bretagne, Plouzane, France
   UF8843 Génomique médicale, CHU Dupuytren, Limoges, France
C2 CHU DUPUYTREN, FRANCE
   IFREMER, FRANCE
   CHU DUPUYTREN, FRANCE
SI BREST
SE PDG-IRSI-RIC
   PDG-IRSI-SEBIMER
IN WOS Ifremer UPR
   DOAJ
   copubli-france
IF 3.7
TC 6
UR https://archimer.ifremer.fr/doc/00747/85930/91187.pdf
   https://archimer.ifremer.fr/doc/00747/85930/91188.docx
   https://archimer.ifremer.fr/doc/00747/85930/91189.docx
LA English
DT Article
AB ASPICov was developed to provide a rapid, reliable and complete analysis of NGS SARS-Cov2 samples to the biologist. This broad application tool allows to process samples from either capture or amplicon strategy and Illumina or Ion Torrent technology. To ensure FAIR data analysis, this Nextflow pipeline follows nf-core guidelines and use Singularity containers. Pipeline is implemented and available at https://gitlab.com/vtilloy/aspicov. 
PY 2022
PD JAN
SO Plos One
SN 1932-6203
PU Public Library of Science (PLoS)
VL 17
IS 1
UT 000829607600044
DI 10.1371/journal.pone.0262953
ID 85930
ER

EF