Andreas Bremges

bioinformatics & (meta)genomics

[Agata Starosta @MissAgataStar]

It’s out! Our first B. subtilis paper, published at @NatureComms
Translation in Bacillus subtilis is spatially and temporally coordinated during sporulation. #subtiwiki #bacillus https://t.co/c1ti2CxqGB
Performed at @IBBPAS
Funded by @FNP_org_pl @EMBO_YIP

[Danilo Ercolini @DaniloErcolini]

Gaba-producing lactobacilli boosting cognitive reactivity to negative mood…https://t.co/UlJ52RLjBC

[ASM @ASMicrobiology]

It's hard to identify gut bacterial strains that eat mucin glycans, but a new method in @AppEnvMicro could help. Glass beads immobilized with mucins are incubated with fecal microbiota; bacteria that stick to the beads have higher mucin metabolic activity.https://t.co/CKXzwVZFTD

[Phil b. Pope @ThePopeLab]

In a perfect microbial world we would all work with genomes/MAGs/isolates…but we are not there yet, and the old workhorse 16S rDNA gene still has a role to play. If you missed @oveoyas poster at #ISME19 check out the preprint https://t.co/bPOaRIL4f4

[Amy Willis 😻 amydwillis.bsky.social @AmyDWillis]

Slides from my #ISME19 presentation available at https://t.co/6IUaqwjzdz . Looking forward to continuing the rest of the session in 1.4 at 2:30pm today!

Joint work with @davidandacat @sarah_teichman @bejcal and @mikemc423

[Michael Baym @baym]

Thrilled to see the first review article from my lab out in advance @AnnualReviews, helmed by @Celia_Sqe: From Petri Dishes to Patients to Populations:

Scales and Evolutionary Mechanisms Driving Antibiotic Resistance
https://t.co/doWuYeZAfb

[Michael Snyder, PhD @SnyderShot]

Our aging paper just came out. Two periods of major changes: Mid 40s and 60s. Check it out https://t.co/k2qyHJPiq7

[Christopher Stewart @CJStewart7]

Finally, our work developing a model to allow simultaneous co-culture of anaerobic microbes with oxygen-requiring human cells has been published.

https://t.co/t5YbdF9zAD

[bioRxiv Bioinfo @biorxiv_bioinfo]

StrainR2 accurately deconvolutes strain-level abundances in synthetic microbial communities https://t.co/Vjoa3G2SmI #biorxiv_bioinfo

[stefano campanaro @campanarostef]

Our new #software MICROPHERRET leverages a suite of supervised #machine #learning algorithms to annotate microbial #genomes and #MAG in 86 #metabolic and other #ecological #functions @EdoardoBizzott1 @SFraulini @guido_zampieri @LauraTreu @DiBio_UniPD https://t.co/3T8QSwbqAS

[Huiluo Cao 曹慧荦 @hlcao]

Microbial community-scale metabolic modelling predicts personalized short-chain fatty acid production profiles in the human gut | Nature Microbiology https://t.co/bjckXoon9w

[Stephen Turner 🦋 @stephenturner.us @strnr]

mettannotator is a nextflow pipeline that generates an exhaustive annotation (GFF) of prokaryotic genomes. https://t.co/Ucef0GTbyg

[Andreas Bremges @abremges]

@aaron_weimann @ScienceMagazine Congratulations, Aaron, and thanks - this was a fantastic read! :)

[Aaron Weimann 🇺🇦 @aaron_weimann]

Today in @ScienceMagazine, we report how a bacteria has evolved into a major human pathogen over the last 200 years. Read on, this is going to be an adventurous ride 1/n! https://t.co/AFWgJUiIpS

[Amy Willis 😻 amydwillis.bsky.social @AmyDWillis]

If you've asked me about bacterial phylogenetics, you've heard me complain about the current standard... concatenation.

We've been working on approaches to do better, and now have a first preprint on the topic!

https://t.co/RfAbcsRq7k

Joint work w María Valdez 🤩

1/ 🧵

[Amir Zarrinpar @Zarrinparlab]

New paper from our lab in @NatureMetabolism: Our new study reveals how the time of day can impact microbiome research outcomes! 🕒🧬 Consistent sampling times are crucial for reliable data. #Microbiome #CircadianRhythms #ScienceNews https://t.co/wLGRq7EJS3

[Katie Guzzetta 🌻 @ktguzz]

"Microbial community-scale metabolic modelling predicts personalized short-chain fatty acid production profiles in the human gut" #SCFA #GutMicrobiome #Diet

Newest from @BioBohmann @gibbological in @NatureMicrobiol

Link: https://t.co/7uC0CQKtZX

[Cameron Thrash @jcamthrash]

Leveraging genome-scale metabolic models to understand aerobic methanotrophs https://t.co/YwinGtaOQR

[Huiluo Cao 曹慧荦 @hlcao]

RIBAP: a comprehensive bacterial core genome annotation pipeline for pangenome calculation beyond the species level | Genome Biology | Full Text https://t.co/vHVn3LIvwz

[Cameron Thrash @jcamthrash]

Metabolic complexity drives divergence in microbial communities https://t.co/903UbrV4oy