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Optical genome mapping identifies source-associated structural variant differences across early-passage human iPSCs
Background: Induced pluripotent stem cells (iPSCs) are an important model for studying human diseases in vitro. However, previous studies have shown that iPSC reprogramming and extended cell culture can introduce genomic structural variants (SVs). Technologies like karyotyping, CNV microarrays, and whole-genome sequencing have limitations in resolution, sensitivity, or the ability to detect large and complex structural variants compared to optical genome mapping (OGM).
Imputed graph-genotyped structural variants identify regulatory haplotypes associated with gene expression in Atlantic salmon
Structural variants (SVs) can affect gene regulation, but they are difficult to include in expression genetic studies when large RNA-seq cohorts lack whole-genome sequencing. This is common in non-human and non-model systems, where whole-genome sequencing at population scale remains costly. As a result, expression quantitative trait locus (eQTL) studies often rely on single nucleotide polymorphism (SNP) markers.
Escaping the Linearity Trap: Manifold Detours for Black-Box Adversarial Attacks on Singing Audio Deepfake Detection
arXiv:2605.30366v1 Announce Type: new Abstract: Recent Singing Voice Synthesis (SVS) advances enable highly realistic but potentially malicious AI covers, making singing voice deepfake detection (SVDD) crucial. Self-Supervised Learning (SSL)-based detectors achieve state-of-the-art performance by fine-tuning speech SSL backbones to capture singing-specific spoof artifacts.
UniVoice: A Unified Model for Speech and Singing Voice Generation
arXiv:2606.05852v1 Announce Type: new Abstract: Text-to-speech (TTS) and singing voice synthesis (SVS) both aim to generate human vocal audio from symbolic inputs, but they impose different requirements on the generation process. Speech generation relies on flexible, language-driven prosody, whereas singing generation requires explicit melody control and accurate rhythmic alignment. This mismatch makes it challenging to train a single model that can generate both natural speech and...
Short videos may hinder learning by fragmenting attention and memory, study finds
June 4, 2026 feature Short videos may hinder learning by fragmenting attention and memory, study finds Ingrid Fadelli Author Stephanie Baum Scientific Editor Robert Egan Associate Editor Recent technological advances and the introduction of new digital media platforms have dramatically changed how people learn and source information about topics that interest them. Some recent studies have found that while browsing online or scrolling down social media platforms, users tend to spend under...
A Pan-pangenome illuminates complex structural variation and selection in humans, chimpanzees, and bonobos
Complete, haplotype-resolved genome assemblies have provided unprecedented insight into the evolution of structurally complex, rapidly evolving regions of human genomes; however, population-scale pangenome resources of our closest relatives, chimpanzees and bonobos (genus, Pan), are necessary to ascertain the origins and evolutionary context of these loci. Here, we sequence and assemble 58 haplotypes from four distinct Pan clades to high contiguity (median contig NG50=54 Mb), including eight...