Pe'er Lab — Software

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Open-source tools from the lab, newest first. Each links to its code repository and the publication it accompanies; parentheses list the lab members among the authors.

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Contrastive learning for differential splicing, using orthologous positive pairs.
RECOMB 2026; bioRxiv 2026 · (Talukder, Pe'er)
Infers copy-number alterations from snRNA-seq paired with matched bulk whole-exome sequencing.
Phylogenetic inference of cell clones and clonal phylogenies from noisy single-cell CNA profiles.
Plasticity analysis for paired lineage-tracing and phenotypic data.
Python library for learning and analyzing data in non-Euclidean (product-manifold) spaces.
arXiv 2025 · (Chlenski, Khan, Pe'er)
Hyperbolic embeddings of genomic sequence.
ICLR 2025 · (Khan, Chlenski, Pe'er)
Aggregates single cells into interpretable metacells for scRNA-seq and scATAC-seq.
Nat. Biotechnol. 2023 · (Persad, I. Pe'er)
Synthetic-data engine for microbiome study power analysis and study design.
Bioinformatics Advances 2022 · (Chlenski, Pe'er)
Infers personalized microbial growth rates from metagenomic coverage (peak-to-trough ratios).
Genome Research 2022 · (Joseph, Chlenski, Pe'er)
Recovery algorithm and pooling designs for one-stage noisy group testing under a probabilistic model.
AlCoB 2021 · (Liu, Pe'er)
Denoises longitudinal microbiome data; infers relative abundances and separates biological from technical zeros.
Cell Systems 2020; RECOMB 2020 · (Joseph, Pasarkar, Pe'er)
Models microbial community dynamics in the simplex of relative abundances.
PLoS Comput. Biol. 2020 · (Joseph, Pe'er)
Infers population structure from time-series (ancient-DNA) genotype data.
Am. J. Hum. Genet. 2019 · (Joseph, Pe'er)