a scalable python suite for tree inference and advanced pseudotime analysis from scRNAseq data.

LAML is a maximum likelihood algorithm to infer cell phylogeny from dynamic lineage tracing data

Bioinformatics pipeline using a sliding window approach to create a sequence of trees from multiple sequence alignments.

Uses clustering methods, tree edit distance, maximum likelihood based tree inference techniques to construct trees of tumor progression history from single cell RNA sequencing datasets