Sign in
BioinformaticsbioRxiv
Preprint

HTS-IBIS: fast and accurate inference of binding site motifs from HT-SELEX data

Yaron Orenstein, Ron Shamir

Abstract

SummaryRecent technological advancements enable measuring the binding of a transcription factor to thousands of DNA sequences, in order to infer its binding preferences. High-throughput-SELEX measures protein-DNA binding by deep sequencing over several cycles of enrichment. We devised a new algorithm called HTS-IBIS for the inference task. HTS-IBIS corrects for technological biases, selects the cycle and k, and builds a motif starting from a consensus k-mer in that cycle. In large scale tests, HTS-IBIS outperformed the extant automatic algorithm for the motif finding task on both in vitro and in vivo binding prediction.\n\nAvailabilityHTS-IBIS is available on acgt.cs.tau.ac.il/HTS-IBIS.\n\nContactrshamir@tau.ac.il

PDFDOI

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISGryzunov '26Hassanzadeh '17Ge '21Li '24Xu '20Yang '19
62% semantic matchBioinformatics
Nikita Gryzunov, Dmitry Penzar, Vasilii Kamenets+30 more·Cell Reports·Oct 1, 2026· 3 citations