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This study conducts transcriptomic analysis of Piper chaba to identify genes involved in piperine biosynthesis and other metabolic pathways.

The paper investigates genome dynamics in mosses using chromosome-scale assemblies, finding extensive synteny alongside dynamic gene space driven by de novo gene birth and loss.

The paper presents a high-quality genome assembly for the GIANT Nile tilapia strain, enabling the reconstruction of X and Y haplotypes and identifying sex determination loci on LG23.

The paper uses transfer learning to predict how TF dosage affects chromatin accessibility, finding that motif affinity and distribution determine sensitivity or buffering of TF concentration changes.

The paper identifies two immunological subtypes of Sjögren's disease using single-cell RNA sequencing, highlighting distinct IFN-I signatures and transitional B cell characteristics.

The paper assembles and annotates the genomes of two teinturier grapevine varieties, Dakapo and Rubired, providing genetic resources for studying pigmentation and other traits.

This paper uses long-read RNA sequencing to create a comprehensive transcriptomic atlas of Caviid Gammaherpesvirus 1, revealing its transcriptome and regulatory mechanisms.

The paper identifies genetic factors influencing red blood cell proteome and oxidative stress in mice, highlighting hemoglobin cysteine redox status as critical for glutathione regulation.

This study shows non-cognitive skills mediate genetic effects on academic achievement, accounting for up to 64% of the total effect across development.

This study presents genome assemblies and analyses of macaques to explore genetic variation, population history, and evolutionary differences between species and humans.

The paper analyzes the genomic data of 385 horses from 49 breeds to explore the demographic history and genetic factors influencing body size in ponies, identifying cis-regulatory elements and genetic affinities.

GuideScan2 constructs high-specificity CRISPR gRNA databases and enables design of allele-specific gRNAs, reducing off-target effects in gene essentiality screens.

The paper uses Perturb-seq to systematically identify signaling regulator targets across multiple cell lines and contexts, introducing Mixscale to improve analysis and infer pathway activation changes.

This paper introduces FiberFold, a deep learning model that predicts haplotype-specific 3D chromatin organization using Fiber-seq data, revealing changes in TADs in a Mendelian disease.

This study uses machine learning to identify novel shared targets in glioblastoma and osteosarcoma, revealing C2ORF72 as a potential therapeutic and diagnostic target.

The paper presents the first chromosomal-level genome assembly of an allotetraploid oyster, providing a genetic resource for studying genome biology and polyploid breeding.

The paper uses chimeric eCLIP to map snoRNA-target RNA interactions, identifying novel interactions and regulatory roles in RNA biogenesis.

The paper identifies bZIP transcription factors as key regulators of IL-2-induced Treg activation, linking chromatin accessibility changes to Th1/Th2 molecular phenotypes and metabolic pathways.

This study benchmarks the InheriNext(R) algorithm for pathogenic variant prioritization using 7,244 whole exome test cases, showing 98.6% sensitivity and consistent performance across diverse scenarios.

The paper identifies epistatic QTLs in budding yeast using a modified bulk segregant analysis approach that fixes one chromosome to detect genetic interactions.