The open source software R / Bioconductor is used for statistical analysis and visualization, with continual generation of new analysis packages and updates. Find the latest research on Programming: Bioconductor Software Packages here.
Single-cell RNA sequencing of the adult human kidney transcriptome can provide molecular information about cell-specific responses to environmental variables and disease states. This information can provide a dataset to benchmark human kidney organoids. Discover the latest research on adult kidney organoids at single cell resolution here.
Alignment-free sequence analyses have been applied to problems ranging from whole-genome phylogeny to the classification of protein families, identification of horizontally transferred genes, and detection of recombined sequences. Here is the latest research.
RNA sequencing is used to reveal the presence and quantity of RNA in a given sample. In this feed, RNA sequencing investigates the genetic and molecular mechanisms related to the pathophysiology of Alzheimer's disease (AD). Here are the latest discoveries pertaining to RNA sequencing and this disease.
The open source software R / Bioconductor is used for statistical analysis and visualization, with continual generation of new analysis packages and updates. Find the latest research on programming and Bioconductor here.
Cancer genomics employ high-throughput technologies to identify the complete catalog of somatic alterations that characterize the genome, transcriptome and epigenome of cohorts of tumor samples. Discover the latest research here.
Several sequencing approaches are employed to understand and examine tumor development and progression. These include whole genome as well as RNA sequencing. Here is the latest research on cancer sequencing.
Constructing a cell atlas of the human eye will require transcriptomic and histologic analysis over the lifespan. This understanding will aid in the study of development and disease. Find the latest research pertaining to the Cell Atlas of the Human Eye here.
Examining the genomics, transcriptomics, proteomics, and metabolomics of the human thymus gland at the single cell level will help build a single cell atlas of this gland, which would give a unique ID card for each cell type, a three-dimensional map of how cell types work together to form tissues, and insights into how changes in the map underlie health and disease of the thymus gland during development and aging. Discover the latest research on the cell atlas of the human thymus here.