Paul E. Abraham

The Everything Bagel feature finder automates metabolomics data processing, achieving comparable or better performance than existing methods with significantly reduced computational time.

This study uses genome shuffling in Bacillus subtilis to map quantitative trait loci for complex phenotypes, identifying high-confidence QTLs of moderate size.

This paper identifies ECM29 as a key protein mediating microbial enhancement of plant heat stress tolerance through proteasome modulation in Arabidopsis.

This study uses CRISPRi screens to identify transcriptional gradients in Synechococcus sp. PCC 7002 that improve growth under cold monochromatic light conditions.

The paper transfers a catabolic pathway for salicyl alcohol in Pseudomonas soil isolates, showing it enables rapid catabolism but does not confer a fitness advantage in rhizosphere competition.

The paper develops a split ribozyme-based biosensor for in vivo visualization of gene expression in plants, demonstrating its use in transient expression and endogenous gene expression in Arabidopsis thaliana.

This study combines genomics and metabolomics to identify terpene diversity in Suillus fungi, revealing metabolites involved in fungal communication and host interactions.

The paper introduces network analysis methods to identify exogenous compounds that trigger specialized metabolite production in fungi and distinguish unknown analytes.

This paper describes a method to enhance cell-free metabolite production by engineering crude lysates using MAGE to selectively remove proteins, resulting in increased pyruvate production.