Tavor Z. Baharav

The paper introduces a collision-aware estimator for RNA-seq quantification that allows shorter UMIs without sacrificing accuracy.

OASIS provides a statistically valid and computationally efficient alternative to Pearson's X2 for analyzing contingency tables, demonstrating improved power and interpretability in genomic applications.

The paper introduces SPLASH and compactors to efficiently discover microbial genetic elements and perform strain typing without reference genomes.

SPLASH is a unifying, statistically driven approach to biological discovery from raw sequencing data, bypassing alignment.

The paper was withdrawn due to duplicate posting and is no longer available for citation.

SPLASH2 is an efficient, scalable algorithm for discovering regulated sequence variation in RNA-seq data, revealing new biology in single-cell and bulk datasets without parameter tuning.

SPLASH+ identifies novel transcriptomic diversity in human single cells without reference genomes or cell type metadata.

This paper introduces Spectral Jaccard Similarity, a method to estimate pairwise sequence alignments by addressing k-mer distribution biases, showing improved performance on PacBio reads.