Top 40
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ML / AI methods
Neural and graph models reconstruct and integrate spatially resolved transcriptomic data
Recent spatial transcriptomics methods encode explicit spatial context across imputation, multi-omics integration, and domain identification.
ML / AI methods
Learned models predict binding sites and mutational effects from sequence and structure
Protein language model embeddings and graph networks now underpin binding-site, variant-effect and stability prediction.
Single-cell
Inferring dynamic gene regulatory networks from single-cell RNA and ATAC profiles
Recent single-cell and spatial multi-omics methods explicitly model trajectories, regulatory priors and TF activity to infer regulatory structure from…
Genomics
Computational tools refine variant, copy number and transcript calling across platforms
Long-read and short-read platforms now feed deep-learning and graph-based callers for somatic, structural, and paralogous variation.
Tools & infrastructure
Interactive software tools for genomic, proteomic, and multi-omics data exploration
Recent Bioinformatics releases from July 2026 pair reproducible differential analysis with interactive visualization across omics and genomic data types.