Oliver Schwengers
@oschwengers.bsky.social
🦠🧬🖥️ Microbial bioinformatics PostDoc
@JLUGiessen, WGS bacteria, plasmids, software/pipeline developer, father of 2, husband, astrophotographer
@JLUGiessen, WGS bacteria, plasmids, software/pipeline developer, father of 2, husband, astrophotographer
Unbelievable, Bakta reached its 1,000th citation!
A huge shout out and thank you to all Bakta users, bug reporters, those sharing ideas and suggesting features...
...just the entire incredibly supporting binfie community!
Without you, Bakta wouldn't be the same.
Thank you!
A huge shout out and thank you to all Bakta users, bug reporters, those sharing ideas and suggesting features...
...just the entire incredibly supporting binfie community!
Without you, Bakta wouldn't be the same.
Thank you!
October 6, 2025 at 8:11 AM
Unbelievable, Bakta reached its 1,000th citation!
A huge shout out and thank you to all Bakta users, bug reporters, those sharing ideas and suggesting features...
...just the entire incredibly supporting binfie community!
Without you, Bakta wouldn't be the same.
Thank you!
A huge shout out and thank you to all Bakta users, bug reporters, those sharing ideas and suggesting features...
...just the entire incredibly supporting binfie community!
Without you, Bakta wouldn't be the same.
Thank you!
Interested in bacterial genomes?
Hundreds of thousands, even millions?
All annotated, taxonomically classified, integrated with metadata.
Easily searchable, viewable, downloadable, in sync with #AllTheBacteria.
Then BakRep is for you! Poster P-CM-102 @vaam-microbes.bsky.social #VAAM25
Hundreds of thousands, even millions?
All annotated, taxonomically classified, integrated with metadata.
Easily searchable, viewable, downloadable, in sync with #AllTheBacteria.
Then BakRep is for you! Poster P-CM-102 @vaam-microbes.bsky.social #VAAM25
March 25, 2025 at 9:45 AM
Interested in bacterial genomes?
Hundreds of thousands, even millions?
All annotated, taxonomically classified, integrated with metadata.
Easily searchable, viewable, downloadable, in sync with #AllTheBacteria.
Then BakRep is for you! Poster P-CM-102 @vaam-microbes.bsky.social #VAAM25
Hundreds of thousands, even millions?
All annotated, taxonomically classified, integrated with metadata.
Easily searchable, viewable, downloadable, in sync with #AllTheBacteria.
Then BakRep is for you! Poster P-CM-102 @vaam-microbes.bsky.social #VAAM25
Last week before Christmas...
Though not being a captain, that's the post, ... just that ;-)
Though not being a captain, that's the post, ... just that ;-)
December 18, 2024 at 9:08 AM
Last week before Christmas...
Though not being a captain, that's the post, ... just that ;-)
Though not being a captain, that's the post, ... just that ;-)
Info: We updated our Bakta WEB version:
- MUCH faster annotations via optimized Kubernetes nodes and locally-attached databases
- Software-Update to v1.10.1
- Database-Update to v5.1
Publicly available at: bakta.computational.bio
- MUCH faster annotations via optimized Kubernetes nodes and locally-attached databases
- Software-Update to v1.10.1
- Database-Update to v5.1
Publicly available at: bakta.computational.bio
November 26, 2024 at 8:10 AM
Info: We updated our Bakta WEB version:
- MUCH faster annotations via optimized Kubernetes nodes and locally-attached databases
- Software-Update to v1.10.1
- Database-Update to v5.1
Publicly available at: bakta.computational.bio
- MUCH faster annotations via optimized Kubernetes nodes and locally-attached databases
- Software-Update to v1.10.1
- Database-Update to v5.1
Publicly available at: bakta.computational.bio
Genome plots:
To improve Bakta’s circular genome plots, we replaced good old Circos by the novel pure-Python pyCirclize library. Thus, we could also add new features, such as legends and new 'bakta_plot' parameters:
bakta_plot --type cog –dpi 300 --size 8 --label='my custom label text'
(6/11)
To improve Bakta’s circular genome plots, we replaced good old Circos by the novel pure-Python pyCirclize library. Thus, we could also add new features, such as legends and new 'bakta_plot' parameters:
bakta_plot --type cog –dpi 300 --size 8 --label='my custom label text'
(6/11)
November 18, 2024 at 8:49 AM
Genome plots:
To improve Bakta’s circular genome plots, we replaced good old Circos by the novel pure-Python pyCirclize library. Thus, we could also add new features, such as legends and new 'bakta_plot' parameters:
bakta_plot --type cog –dpi 300 --size 8 --label='my custom label text'
(6/11)
To improve Bakta’s circular genome plots, we replaced good old Circos by the novel pure-Python pyCirclize library. Thus, we could also add new features, such as legends and new 'bakta_plot' parameters:
bakta_plot --type cog –dpi 300 --size 8 --label='my custom label text'
(6/11)
As requested from several users, Bakta now writes all annotation metrics (coverage, sequence identities, bitscores, etc) to a dedicated TSV file for further inspection. (4/11)
November 18, 2024 at 8:49 AM
As requested from several users, Bakta now writes all annotation metrics (coverage, sequence identities, bitscores, etc) to a dedicated TSV file for further inspection. (4/11)
Recovery of result files:
Bakta’s output too large? Via a new 'bakta_io' cmd all result files can be recovered from its json[.gz] file within seconds.
By this, ~84 Mb of result files (e.g. E.coli) are stored in a 5.8 Mb .json.gz file reducing storage requirements by 93%.
(3/11)
Bakta’s output too large? Via a new 'bakta_io' cmd all result files can be recovered from its json[.gz] file within seconds.
By this, ~84 Mb of result files (e.g. E.coli) are stored in a 5.8 Mb .json.gz file reducing storage requirements by 93%.
(3/11)
November 18, 2024 at 8:49 AM
Recovery of result files:
Bakta’s output too large? Via a new 'bakta_io' cmd all result files can be recovered from its json[.gz] file within seconds.
By this, ~84 Mb of result files (e.g. E.coli) are stored in a 5.8 Mb .json.gz file reducing storage requirements by 93%.
(3/11)
Bakta’s output too large? Via a new 'bakta_io' cmd all result files can be recovered from its json[.gz] file within seconds.
By this, ~84 Mb of result files (e.g. E.coli) are stored in a 5.8 Mb .json.gz file reducing storage requirements by 93%.
(3/11)
Quick example:
species=="Klebsiella pneumoniae"
+ contig number <= 100
+ completeness >= 0.95
+ contamination <= 0.01
+ containing gene=="mobA"
+ collection-host=="human"
-> 1,545 genomes in <2 sec 😀
5/7
species=="Klebsiella pneumoniae"
+ contig number <= 100
+ completeness >= 0.95
+ contamination <= 0.01
+ containing gene=="mobA"
+ collection-host=="human"
-> 1,545 genomes in <2 sec 😀
5/7
November 4, 2024 at 10:40 AM
Quick example:
species=="Klebsiella pneumoniae"
+ contig number <= 100
+ completeness >= 0.95
+ contamination <= 0.01
+ containing gene=="mobA"
+ collection-host=="human"
-> 1,545 genomes in <2 sec 😀
5/7
species=="Klebsiella pneumoniae"
+ contig number <= 100
+ completeness >= 0.95
+ contamination <= 0.01
+ containing gene=="mobA"
+ collection-host=="human"
-> 1,545 genomes in <2 sec 😀
5/7