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Mesoscale transcriptome analysis
2018In the current chapter, we will discuss some publications that applied the previously described data analysis methods to genome-scale expression datasets in order to investigate aspects of brain organisation at the mesoscale level (i.e. at the level of areas and their connections).
Alessandro Cellerino, Michele Sanguanini
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Transcriptome analysis in heart failure
Current Opinion in Cardiology, 2016Genome-wide analysis of RNA abundances (transcriptome analysis) offers great potential to identify biomarkers of disease and to gain insight into mechanisms underlying the development of heart failure. I will discuss key factors in generating and evaluating transcriptome data, and recent studies that have contributed to the understanding of cardiac ...
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Transcriptome Assembly and Alternative Splicing Analysis
2014Alternative Splicing (AS) is the molecular phenomenon whereby multiple transcripts are produced from the same gene locus. As a consequence, it is responsible for the expansion of eukaryotic transcriptomes. Aberrant AS is involved in the onset and progression of several human diseases.
BONIZZONI, PAOLA +5 more
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Bioinformatics Pipeline for Transcriptome Sequencing Analysis
2016The development of High Throughput Sequencing (HTS) for RNA profiling (RNA-seq) has shed light on the diversity of transcriptomes. While RNA-seq is becoming a de facto standard for monitoring the population of expressed transcripts in a given condition at a specific time, processing the huge amount of data it generates requires dedicated bioinformatics
Djebali, Sarah +5 more
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly