Gohta Aihara

This paper introduces High Temperature (HighT) assembly, a DNA assembly method that improves accuracy and yield by ligating DNA at higher temperatures, and demonstrates its application in constructing synthetic genes and genomic regions.

This paper introduces SLIM, a method for unbiased genome reduction in diverse bacteria, and demonstrates its application in Escherichia coli and other species.

The paper introduces CRAWDAD, a tool for analyzing cell-type spatial relationships across scales in spatially resolved omics data, and demonstrates its application on simulated and real datasets.

SEraster reduces computational resource needs for spatial omics analysis by aggregating cell data into spatial pixels, enabling efficient analysis of large datasets.

This study evaluates how different normalization methods affect the analysis of spatially resolved transcriptomics data, showing that gene count-based normalization can introduce biases in downstream analyses.

This paper introduces STalign, a method for aligning spatial transcriptomics data using diffeomorphic metric mapping, improving alignment accuracy over affine methods.