Chapter title |
Chronic Myeloid Leukemia
|
---|---|
Chapter number | 17 |
Book title |
Chronic Myeloid Leukemia
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-4011-0_17 |
Pubmed ID | |
Book ISBNs |
978-1-4939-4009-7, 978-1-4939-4011-0
|
Authors |
Yang, Yadong, Ding, Nan, Dong, Xunong, Fang, Xiangdong, Yadong Yang, Nan Ding, Xunong Dong, Xiangdong Fang |
Abstract |
Next-generation sequencing technologies have greatly accelerated the biological and medical progression. As one of the applications, miRNA-Seq is invaluable in detecting and characterizing genome-wide miRNAs of either too high or too low abundance. Besides, it can also be used in detecting novel miRNAs. Here, we describe an ab initio analysis of an example chronic myeloid leukemia miRNA sequencing data set to quantify the global expression of miRNAs, detect differential expression and novel miRNAs, and predict target genes. The run time of this protocol may vary depending on the volume of miRNA sequencing data and available computing resources but takes ~5 h of computing time for typical experiments and less than 1 h of hands-on time. |
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Biochemistry, Genetics and Molecular Biology | 1 | 33% |
Unknown | 2 | 67% |