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Published in 2020 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-0603-2_11
Abstract: RNA-seq is a powerful method for transcriptome profiling that allows the detection of total RNA present in a single cell, tissues, or organs. mRNA-seq is focused on protein-coding RNAs, and results in large datasets of…
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Keywords:
bioinformatic methods;
mycorrhizal fungi;
mrna seq;
arbuscular mycorrhizal ... See more keywords
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Published in 2018 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-7834-2_10
Abstract: Single-cell mRNA-seq is a valuable tool to dissect expression profiles and to understand the regulatory network of genes. Microfluidics is well suited for single-cell analysis owing both to the small volume of the reaction chambers…
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Keywords:
single cell;
cell;
mrna seq;
cell mrna ... See more keywords
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Published in 2017 at "Biostatistics"
DOI: 10.1093/biostatistics/kxw044
Abstract: &NA; Sequencing of messenger RNA (mRNA) can provide estimates of the levels of individual isoforms within the cell. It remains to adapt many standard statistical methods commonly used for analyzing gene expression levels to take…
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Keywords:
clustering mrna;
mrna seq;
seq data;
data based ... See more keywords
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Published in 2022 at "International Journal of Molecular Sciences"
DOI: 10.3390/ijms23094574
Abstract: Acute lymphoblastic leukemia (ALL) is the most common childhood cancer and comprises multiple genetically distinguishable subtypes. To detect subtypes, current pipelines include fusion calling, polymorphisms, candidate gene copy numbers and cytogenetics but these approaches have…
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Keywords:
mrna seq;
multi cohort;
lymphoblastic leukemia;
cohort transcriptomic ... See more keywords