Name
Title | ||
|---|---|---|
SEQualyzer: interactive tool for quality control and exploratory analysis of high-throughput RNA structural profiling data. |
Abstract | ||
|---|---|---|
To serve numerous functional roles, RNA must fold into specific structures. Determining these structures is thus of paramount importance. The recent advent of highthroughput sequencing-based structure profiling experiments has provided important insights into RNA structure and widened the scope of RNA studies. However, as a broad range of approaches continues to emerge, a universal framework is needed to quantitatively ensure consistent and high-quality data. We present SEQualyzer, a visual and interactive application that makes it easy and efficient to gauge data quality, screen for transcripts with high-quality information and identify discordant replicates in structure profiling experiments. Our methods rely on features common to a wide range of protocols and can serve as standards for quality control and analyses. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1093/bioinformatics/btw627 | BIOINFORMATICS |
Field | DocType | Volume |
Data mining,RNA,Computer science,Profiling (computer programming),Throughput,Bioinformatics | Journal | 33 |
Issue | ISSN | Citations |
3 | 1367-4803 | 0 |
PageRank | References | Authors |
0.34 | 1 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Krishna Choudhary | 1 | 0 | 0.34 |
| Luyao Ruan | 2 | 0 | 0.34 |
| Fei Deng | 3 | 29 | 2.71 |
| Nathan P. Shih | 4 | 0 | 0.68 |
| S. Aviran | 5 | 14 | 4.08 |