Almaden Genomics has added pre-built workflows for single-cell RNA-seq analysis to its g.nome
platform, enabling understanding of cellular diversity and disease mechanisms on a much more granular level. By unlocking single-cell sequencing data through efficient and powerful analysis, g.nome can now help researchers better understand cellular heterogeneity and gene expression.
“Single-cell RNA-seq is becoming more widely adopted because it can provide critical insights by analyzing the gene expression profiles of individual cells,” said David Gascoigne, chief executive officer of Almaden Genomics. “This type of analysis requires a significant amount of iteration and exploration, which is where a flexible and powerful system like g.nome adds significant value.”
In g.nome, researchers do not need coding skills to handle big datasets reliably because the platform offers a drag-and-drop graphical user interface (GUI). The pre-built, yet modifiable, workflows streamline the entire single-cell RNA-seq process, automating preprocessing steps like quality control, normalization, and batch correction, and functional analysis like differential expression. In addition, g.nome’s interactive visualization tools facilitate quick data exploration, cluster identification, and gene expression profiling.
Source – PR Newswire
