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Dataset Information

Analysis options for high-throughput sequencing in miRNA expression profiling.


ABSTRACT:

Background

Recently high-throughput sequencing (HTS) using next generation sequencing techniques became useful in digital gene expression profiling.Our study introduces analysis options for HTS data based on mapping to miRBase or counting and grouping of identical sequence reads. Those approaches allow a hypothesis free detection of miRNA differential expression.

Methods

We compare our results to microarray and qPCR data from one set of RNA samples. We use Illumina platforms for microarray analysis and miRNA sequencing of 20 samples from benign follicular thyroid adenoma and malignant follicular thyroid carcinoma. Furthermore, we use three strategies for HTS data analysis to evaluate miRNA biomarkers for malignant versus benign follicular thyroid tumors.

Results

High

SUBMITTER: Stokowy T 

PROVIDER: S-EPMC4007773 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature