This article explores how to generate high-quality transcriptomics data by optimizing each step, from experimental design and RNA extraction to library preparation sequencing and data analysis, to ...
AZoLifeSciences on MSN
Advanced Statistical Method Reduces Noise in Single-Cell RNA-Sequencing Data
The world of cells is surprisingly noisy. Each cell carries unique genetic information, but when we try to measure cellular activity, signals can be lost or blurred, and differences between ...
10don MSN
Multi-scale analysis reveals FGFR1 inhibition as effective strategy against cardiac fibrosis
Through a comprehensive approach combining transcriptomic profiling, histological analysis, and functional validation in ...
Associate Professor Yusuke Imoto at Kyoto University has developed iRECODE, a comprehensive computational method that removes noise from single-cell data, revealing the true activity of individual ...
Live-seq brings longitudinal, non-destructive cell sequencing to every lab, revealing new insights into cellular behavior ...
Details: Two FFPE-derived DNA samples (colon and liver) alongside a high-quality genomic DNA control (NA12878) were used to ...
The table shows the representative samples and their associated read counts. AutoNormalization effectively normalized the ...
David Ussery discuss work using high-performance computing for the analysis of millions of viral genome sequences ...
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