PaleoProPhyler: a reproducible pipeline for phylogenetic inference using ancient proteins
Research output: Working paper › Preprint › Research
Standard
PaleoProPhyler : a reproducible pipeline for phylogenetic inference using ancient proteins. / Patramanis, Ioannis; Madrigal, Jazmin Ramos; Cappellini, Enrico; Racimo, Fernando.
bioRxiv, 2022.Research output: Working paper › Preprint › Research
Harvard
Patramanis, I, Madrigal, JR, Cappellini, E & Racimo, F 2022 'PaleoProPhyler: a reproducible pipeline for phylogenetic inference using ancient proteins' bioRxiv. https://doi.org/10.1101/2022.12.12.519721
APA
Patramanis, I., Madrigal, J. R., Cappellini, E., & Racimo, F. (2022). PaleoProPhyler: a reproducible pipeline for phylogenetic inference using ancient proteins. bioRxiv. https://doi.org/10.1101/2022.12.12.519721
Vancouver
Patramanis I, Madrigal JR, Cappellini E, Racimo F. PaleoProPhyler: a reproducible pipeline for phylogenetic inference using ancient proteins. bioRxiv. 2022. https://doi.org/10.1101/2022.12.12.519721
Author
Bibtex
@techreport{71326795e85440e2a5490ac395ead711,
title = "PaleoProPhyler: a reproducible pipeline for phylogenetic inference using ancient proteins",
author = "Ioannis Patramanis and Madrigal, {Jazmin Ramos} and Enrico Cappellini and Fernando Racimo",
year = "2022",
doi = "10.1101/2022.12.12.519721",
language = "English",
publisher = "bioRxiv",
type = "WorkingPaper",
institution = "bioRxiv",
}
RIS
TY - UNPB
T1 - PaleoProPhyler
T2 - a reproducible pipeline for phylogenetic inference using ancient proteins
AU - Patramanis, Ioannis
AU - Madrigal, Jazmin Ramos
AU - Cappellini, Enrico
AU - Racimo, Fernando
PY - 2022
Y1 - 2022
U2 - 10.1101/2022.12.12.519721
DO - 10.1101/2022.12.12.519721
M3 - Preprint
BT - PaleoProPhyler
PB - bioRxiv
ER -
ID: 339140844