Bioinformatics & AI

Week of 20 October 2026

8 articles

Geno'X Veille — genox-veille.fr

Key takeaways this week

►HitSV — one SV caller for short-read, long-read and hybrid data, with genotype F1 10-72% above state-of-the-art callers on HG002.
►Saliva and long reads — SV detection comparable to blood in autism and a 9-18% diagnostic-yield gain (preprint).
►PTEN — a machine learning model finds focal deletions in 33 of 204 tumors called wild-type by TSO500.
►RNA-seq — 4 new diagnoses in 30 patients with mitochondrial disease, in a cost-constrained routine workflow.
►DCSMAP — 46.66% fewer variant-calling errors than BWA-MEM2 by remapping only 14.80% of reads to a pangenome (preprint).
►Mosaicism — point mutations detectable below 1% VAF with deep WGS, homopolymer indels only above 3%.

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Structural variant detection across sequencing technologies.

Structural variant detection

Long-readNew toolBenchmark

Nat Biotechnol 2026· OctRead

Pathogenicity prediction

Toward Advanced Quantitative Prediction of Missense Variant Effects.

Missense variant interpretation

Pathogenicity predictionNew toolBenchmark

Int J Mol Sci 2026· SepRead

Long-read sequencing and benchmarking of saliva against blood for genomic variant detection in autism

Long-readLong-read sequencingBenchmark

medRxiv 2026· OctRead

Structural variants

DCSMAP: A Hybrid Linear-Pangenome Framework for Accurate and Efficient Read Alignment

Short-read alignment

Structural variantsNew toolBenchmark

bioRxiv 2026· OctRead

Machine learning uncovers previously undetectable genetic deletions in cancer panel sequencing.

Precision oncology (tumor panel)

Structural variantsNew toolClinical pipeline

NPJ Precis Oncol 2026· OctRead

Clinical pipeline

Optimized RNA-seq workflow for routine diagnosis of mitochondrial diseases using aberrant expression analysis and phenotype-driven prioritization.

Mitochondrial diseases

Clinical pipelineDiagnostic RNA-seqClinical pipeline

Eur J Hum Genet 2026· OctRead

Comprehensive benchmarking of somatic mutation detection by the SMaHT Network.

Somatic mosaicism

Long-readBenchmarkLong-read sequencing

Cell 2026· OctRead

Variant interpretation

Accurate detection of sub-1% frequency somatic mutations by whole-genome sequencing.

Somatic mosaicism (low-frequency mutations)

Variant interpretationBenchmark

Am J Hum Genet 2026· OctRead

References and sources

Structural variant detection. Nat Biotechnol 2026. PMID 42881276. Score 8/10. https://pubmed.ncbi.nlm.nih.gov/42881276/
Missense variant interpretation. Int J Mol Sci 2026. PMID 42884022. Score 6/10. https://pubmed.ncbi.nlm.nih.gov/42884022/
Autism. medRxiv 2026. doi:10.64898/2026.10.09.26365004. Score 6/10. https://www.medrxiv.org/content/10.64898/2026.10.09.26365004v1
Short-read alignment. bioRxiv 2026. doi:10.64898/2026.10.18.759502. Score 6/10. https://www.biorxiv.org/content/10.64898/2026.10.18.759502v1
PTEN — Precision oncology (tumor panel). NPJ Precis Oncol 2026. PMID 42888201. Score 6/10. https://pubmed.ncbi.nlm.nih.gov/42888201/
Mitochondrial diseases. Eur J Hum Genet 2026. PMID 42864382. Score 5/10. https://pubmed.ncbi.nlm.nih.gov/42864382/
Somatic mosaicism. Cell 2026. PMID 42880231. Score 5/10. https://pubmed.ncbi.nlm.nih.gov/42880231/
Somatic mosaicism (low-frequency mutations). Am J Hum Genet 2026. PMID 42880293. Score 5/10. https://pubmed.ncbi.nlm.nih.gov/42880293/

13 October 2026