Oliver Schwengers
Oliver Schwengers
Hi Benjamin, thanks a lot for developing and maintaining diamond. By monitoring tons of Diamond runs from Bakta (2k=80% query/subject coverage, --fast), I saw that a significant proportion of the...
Bakta needs an `IS` element detection and annotation feature. A promising candidate (detection, annotation, recently updated, BioConda) is `ISEScan`: - https://github.com/xiezhq/ISEScan - https://doi.org/10.1093/bioinformatics/btx433
Pre-annotation of UniRef90 clusters could be improved using a dedicated phage database like: - VOGDB: http://vogdb.org/download - PHROGs: https://phrogs.lmge.uca.fr/READMORE.php
Annotate all clusters by KEGG's KoFams: https://www.genome.jp/ftp/db/kofam/
Add detection/prediction of Rho (in)dependent translation terminators ## Rho independent - transtermhp: https://genomebiology.biomedcentral.com/articles/10.1186/gb-2007-8-2-r22; Bioconda:https://anaconda.org/bioconda/transtermhp
Superseede UniRef100/UniRef90 annotations by the following specialized plasmid protein DBs: Mobilization proteins: - **MobScan**: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2937521 https://castillo.dicom.unican.es/mobscan_about/ https://castillo.dicom.unican.es/mobscan_about/MOBfamDB.gz Conjugation proteins: - **CONJScan** https://github.com/gem-pasteur/Macsyfinder_models/tree/master/models/Conjugation http://dx.doi.org/10.1371/journal.pone.0110726 http://dx.doi.org/10.1038/srep23080
Let's try if [Pyrodigal](https://github.com/althonos/pyrodigal) might be a suitable, faster and most important actively maintained successor to Prodigal.
Hi and thanks for developing and maintaining AMRFinder! We use AMRFinder within Bakta and we quite often get filed issues when people move their Bakta database containing an instance of...
First: thanks so much for making this DB available! With the last commit something happened to the protein file `IS.faa`. Example: DNA: `>IS-LL6_IS3_IS3` AA: `>html.2020//IS-LL6 ~~~html.2020//IS-LL6_unknown_unknown_ORF~~~Transposase~~~` 1. IS names are...
Hi and thanks for this very useful tiny tool! In addition to min/mean/max, could you also add the median to the hist summary?