Name
Abstract | ||
|---|---|---|
The Summary: While over 200 000 genomic sequences are currently available through dedicated repositories, ad hoc methods for the functional annotation of SARS-CoV-2 genomes do not harness all currently available resources for the annotation of functionally relevant genomic sites. Here, we present CorGAT, a novel tool for the functional annotation of SARS-CoV-2 genomic variants. By comparisons with other state of the art methods we demonstrate that, by providing a more comprehensive and rich annotation, our method can facilitate the identification of evolutionary patterns in the genome of SARS-CoV-2. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1093/bioinformatics/btaa1047 | BIOINFORMATICS |
DocType | Volume | Issue |
Journal | 36 | 22-23 |
ISSN | Citations | PageRank |
1367-4803 | 0 | 0.34 |
References | Authors | |
0 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matteo Chiara | 1 | 0 | 2.03 |
| Federico Zambelli | 2 | 118 | 9.80 |
| Marco Antonio Tangaro | 3 | 0 | 1.69 |
| Pietro Mandreoli | 4 | 0 | 0.34 |
| David S. Horner | 5 | 52 | 5.81 |
| Graziano Pesole | 6 | 942 | 107.35 |