Gene expression analysis helps uncover how cells function, adapt, and contribute to disease. Techniques from microarray preprocessing to advanced single-cell proteomics offer complementary insights ...

cDNA is produced from RNA templates via reverse transcription and is used in applications like RT-qPCR, microarrays, and RNA-seq. High-quality synthesis depends on intact RNA, removal of genomic DNA, ...

Using single-nucleus RNA sequencing, the authors map transcriptional changes in the rat ventral tegmental area following chronic inflammatory pain and acute morphine exposure. Notably, their ...

Researchers developed STRIPE, a targeted long-read RNA sequencing tool that identifies disease-causing variants missed by ...

QC-Gate v2 Automated transcriptomics quality control pipeline that handles both RNA-seq and Microarray data through a unified interface. The pipeline ingests raw data, applies configurable QC criteria ...

Plasmidsaurus has launched a new RNA-Seq service for Illumina short read applications, bringing the same approach they use for plasmid sequencing to gene expression analysis. Attendees at this week’s ...

Type 1 diabetes mellitus (T1DM) is an autoimmune disease leading to destruction of pancreatic β-cells and loss of insulin production ability. Pathogenesis of T1DM is a complex process involving ...

CD Genomics, a globally distinguished pioneer in genomic technologies, declared today the induction of their innovative LncRNA Microarray Service, affording scientists an avant-garde solution for ...

MUUMI is an R package designed to enable the integration and interpretation of multi-omics data by combining statistical meta-analysis with network-based methodologies. It enables robust ...