scientific-bioinformatics

You can run standardized pipelines for scRNA-seq, genome analysis, PPI networks, and metabolomics to ensure reproducible results across multi-omics research projects. It provides parameterized steps and modular components with explicit dependencies.

The scRNA-seq pipeline processes datasets using Scanpy to perform quality control, normalization, clustering, and differential gene expression analysis within a standardized, parameterized workflow.

Preprocess metabolomics data by applying pipeline steps for imputation, log transformation, and scaling, preparing the dataset for downstream modeling and cross-omics analysis.

Yes, the integrated bioinformatics workflows include genome sequence alignment and phylogeny analysis, allowing you to process genomic sequences within standardized, reproducible pipelines.

Yes, the pipelines support PPI network construction and centrality analysis, enabling you to assemble protein-protein interaction networks and calculate node importance for multi-omics research.

No external dependencies are required to run the workflows, as the modular components feature explicit dependencies and resource references internally, supporting cross-omics analysis and adaptation to new datasets.