Tag: BMC Bioinformatics

A new open-source web application automates validation checks on Illumina sequencing sample sheets to detect errors before demultiplexing.

Researchers have introduced SWANS, a configurable analysis pipeline that evaluates multiple methods and parameters in a single run for single-cell ...

A new model called MIXTAP uses multi-task learning and knowledge distillation to jointly predict intra- and inter-protein PTM crosstalk, outperforming ...

A new AI framework called MolMMP improves molecular toxicity prediction by integrating SMILES sequences, graph topology, and 3D geometric data.

Researchers have expanded the BICEP Bayesian inference model to prioritise indels and copy number variants in pedigree-based genomic analyses.

A new BMC Bioinformatics study shows that expert preference-guided correction of CT projections can reduce motion artifacts while preserving the ...

An explainable deep learning pipeline segments single cells in fluorescence microscopy images and classifies them as normal or metastasising, with ...

ENflorA is a new set of scripts that automates and standardizes the upload of sequencing data and metadata to the ...

A new Bayesian analysis of single-cell pediatric leukemia data shows that continuous B-lineage immune composition carries longitudinal information that coarse ...

A new open-source Python package called ROOFS benchmarks multiple feature selection methods on a researcher's own data, evaluating predictive performance ...