Alina Frolova

The paper introduces WxS-QC, a quality control pipeline for human WGS and WES data, and provides an open test dataset to evaluate QC methods.

This study introduces a new metagenomic health index to assess microbiome health by focusing on functional potential rather than taxonomy, showing improved performance in distinguishing healthy from diseased states.

CAMP provides a modular metagenomics analysis system that enables scalable, extensible workflows with integrated data visualization and reporting.

The paper identifies a disrupted trophoblast transition in preeclampsia, linking placental pathology to maternal syndrome through multi-omics profiling and in vitro analyses.

The paper introduces a parallelized algorithm for reconstructing Bayesian networks on a large scale, improving efficiency while maintaining accuracy in gene regulatory network inference.

The paper creates a gene expression database of preeclampsia-affected human placenta by processing and standardizing 33 datasets to improve analysis accuracy.

The paper describes the creation of a specialized database for microarray experiments and demonstrates its use with 32 placenta datasets under pre-eclampsia conditions.

This study compares microarray data integration pipelines with RNA-seq data in breast cancer, finding that methods using signal intensities outperform those relying on probe sequence characteristics.