Comments (3)
thank you. I figured an alternative approach (terminal).
from metablastr.
Happy to hear that metablastr
is useful for your research.
Currently, there is no analog to the blast_protein_to_nr_database()
function for nucleotides implemented yet, but I can put it on the TODO list.
As for the NR database, yes it would need to be locally stored.
I hope this helps.
Cheers,
Hajk
from metablastr.
Just as a comment: the strength (and purpose) of metablastr
is not running the search itself (this can be done easily via the terminal), but rather how to process and pipe the BLAST result output back into an R session for downstream analytics with dplyr
and other tidy tools
.
from metablastr.
Related Issues (12)
- additional functionality when extracting random sequences HOT 5
- Feature Request: exclude sequences with Ns
- Feature Request: extract the same regions from multiple samples
- function blast_protein_to_protein with argument is.subject.db = TRUE doesn't work with nr database HOT 5
- Feature request : add taxon id for each blast hit HOT 3
- Reg: Reciprocal hits from already run blast outcomes HOT 5
- blast_best_reciprocal_hit nucleotide-protein comparison task error HOT 1
- Error: Internal error in `dict_hash_with()`: Dictionary is full.
- How can I load sequences from a CSV file and do the massive Blast search locally?
- Error in .Call2("new_input_filexp", filepath, PACKAGE = "XVector") : cannot open file '' HOT 2
- Package release request HOT 2
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from metablastr.