Johan Henriksson

Large-scale insights into the biosynthetic potential of the Bacillus cereus group

The paper analyzes the biosynthetic potential of the Bacillus cereus group using genomic data, identifying many novel biosynthetic gene clusters.

Scalable and interpretable secretion system annotation with Sismis

Sismis is a machine learning tool that accurately detects and classifies secretion systems in bacterial (meta)genomes, identifying many previously unknown systems.

Scalable single-cell metagenomic analysis with Bascet and Zorn

This paper introduces Bascet and Zorn, tools for scalable single-cell metagenomic analysis, demonstrating their utility on mock and human saliva samples.

A scalable CRISPR-Cas9 gene editing system facilitates CRISPR screens in the malaria parasite Plasmodium berghei

The paper develops a scalable CRISPR-Cas9 system for Plasmodium berghei to enable genome-wide knockout screens.

CRISPR-MIP replaces PCR and reveals GC and oversampling bias in pooled CRISPR screens

CRISPR-MIP replaces PCR for sgRNA quantification, revealing GC and oversampling biases in pooled CRISPR screens.

Activity and stress during a critical period regulate olfactory sensory neuron differentiation

The paper shows that neuronal activity and stress during a critical period regulate olfactory receptor expression in Drosophila by modulating gene regulatory mechanisms.

Reconstructing the human first trimester fetal-maternal interface using single cell transcriptomics

The paper profiles single-cell transcriptomes from the human first trimester fetal-maternal interface, revealing cellular composition and interactions critical for placentation.

FACSanadu: Graphical user interface for rapid visualization and quantification of flow cytometry data

FACSanadu provides an open-source tool for visualizing and quantifying flow cytometry data, supporting length profile data from the COPAS Biosorter.