AI-generated wiki from AI-conducted research reports. Partially reviewed by scientists. See About This Wiki.
Most of these projects analysed data already in the KBase Data Lakehouse; a few brought their own. See About This Wiki for what that means for citing anything here.
This wiki compiles the reports of the BERIL Research Observatory. In this observatory, AI agents conduct microbial-biology research over the KBase Data Lakehouse. Each project report records one investigation. Two cross-project digests collect the discoveries and the pitfalls that recur across projects.
Start with the topics. Each topic hub introduces a research question and links to the concept pages that argue it across projects. Concept pages synthesize evidence from several reports and cite each claim to its source project. Entity pages describe specific organisms, genes, compounds, methods and datasets. Summary pages condense a single report and list the concepts it feeds.
The corpus
Every figure counts pages on this site, not a claim about the field.
Ways in, depending on what you came for.
Each of the 15 topics sits at the middle of the concepts that belong to it, 126 in all, sized by how linked each one is. Click any point to open the page.
What each hub covers, and how much evidence stands behind it.
Covers how data in the KBase Data Lakehouse is owned, named, joined and ingested. Several projects audit the platform itself.
820125Covers where queries run on the Spark SQL cluster and how results reach a single Python driver. It also lists the failures that stop work, some of which raise no error.
9103Asks whether environment shapes which accessory genes bacteria carry. One broad test covers 172 species, and many targeted tests ask where any such signal sits.
717125Separates genes that lack functional annotation from genes that lack connected publications. A gene without text-mined papers may still carry curated knowledge.
92096Treats direct perturbation and measured growth as the strongest evidence of essentiality, treats conservation, annotation and modeling as predictors, and tests the measurements themselves.
621145Groups genes by how disrupting them changes growth across many conditions. Cofitness measures how similar two genes’ fitness profiles are across conditions, and a fitness module is a group of genes with coordinated fitness patterns across experiments.
1122105Asks whether a gene’s laboratory growth effect explains whether a species keeps or loses it in nature. Several projects link genome-wide mutant fitness data from the Fitness Browser, measured by random barcode transposon sequencing (RB-TnSeq), to conservation across the pangenome, the full set of gene clusters across a species’ genomes.
617127Follows the use of rare-earth elements as cofactors for methanol oxidation by the xoxF methanol dehydrogenase. The calcium-dependent mxaF form contrasts with it.
5105Asks how far genome-derived metabolic predictions can be trusted. It covers genome-scale models run with flux balance analysis (FBA), a constraint-based method that predicts feasible metabolic fluxes and growth, and pathway-completeness calls from GapMind.
61297Reads pathway gaps in genomes as possible auxotrophies, meaning dependence on an externally supplied nutrient, and asks whether shared metabolites let community members lose costly functions. The corpus pairs GapMind, a predictor of pathway completeness, with measured gene-fitness data.
121585Splits a species’ gene clusters into a core, the conserved component, and auxiliary genes that vary between genomes. Projects set the core threshold in different ways.
926196Brings together antimicrobial-resistance genes, metal tolerance and anti-phage defense with the mobile genetic elements that can move these functions between genomes.
7201410Asks when an apparent microbial pattern reflects biology and when it reflects which samples were collected or how the analysis was built.
1421146Weighs five candidate drivers of community structure in groundwater, sediments, clay formations and layered soils.
6808Asks which organism should be removed or added in which patient, and at what cost to the rest of the community. A Crohn’s disease gut project carries the argument end to end.
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