🧷 Best AI tools for Sequencing & variant calling (2026)
Basecallers, long-read and short-read variant callers, polishing and modified-base detection.
9 tools · 9 open source · each entry links to its website, code and paper.
Oxford Nanopore's production basecaller: transformer/LSTM models turning raw nanopore signal into reads, with modified-base calling and duplex.
Fast structural-variant caller for long reads with population-scale and mosaic SV detection.
Transformer that corrects PacBio HiFi consensus reads, increasing yield and accuracy.
Models for detecting modified bases (e.g. 5mC, 6mA) from nanopore signal.
Deep-learning germline small-variant caller for long reads (ONT, PacBio) and short reads.
Haplotype-aware variant calling pipeline for nanopore reads combining PEPPER, Margin and DeepVariant.
Oxford Nanopore's research basecaller for training and testing new basecalling models.
Neural-network consensus polishing and variant calling for nanopore assemblies.
Google deep learning variant caller for Illumina, PacBio HiFi and ONT data.