Name
Abstract | ||
|---|---|---|
We have implemented aggregation and correlation toolbox ( ACT), an efficient, multifaceted toolbox for analyzing continuous signal and discrete region tracks from high-throughput genomic experiments, such as RNA-seq or ChIP-chip signal profiles from the ENCODE and modENCODE projects, or lists of single nucleotide polymorphisms from the 1000 genomes project. It is able to generate aggregate profiles of a given track around a set of specified anchor points, such as transcription start sites. It is also able to correlate related tracks and analyze them for saturation-i.e. how much of a certain feature is covered with each new succeeding experiment. The ACT site contains downloadable code in a variety of formats, interactive web servers ( for use on small quantities of data), example datasets, documentation and a gallery of outputs. Here, we explain the components of the toolbox in more detail and apply them in various contexts. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1093/bioinformatics/btr092 | BIOINFORMATICS |
Keywords | Field | DocType |
genomics | ENCODE,Data mining,Continuous signal,Computer science,Toolbox,Genomics,Software,1000 Genomes Project,Bioinformatics,Documentation,Web server | Journal |
Volume | Issue | ISSN |
27 | 8 | 1367-4803 |
Citations | PageRank | References |
6 | 0.63 | 3 |
Authors | ||
11 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Justin Jee | 1 | 6 | 0.97 |
| Joel Rozowsky | 2 | 76 | 6.43 |
| Kevin Y. Yip | 3 | 600 | 38.39 |
| Lucas Lochovsky | 4 | 8 | 1.35 |
| Robert Bjornson | 5 | 9 | 1.47 |
| Guoneng Zhong | 6 | 6 | 0.63 |
| Zhengdong D. Zhang | 7 | 42 | 6.96 |
| Yutao Fu | 8 | 16 | 3.31 |
| Jing Wang | 9 | 329 | 39.05 |
| Zhiping Weng | 10 | 377 | 41.19 |
| Mark Gerstein | 11 | 236 | 16.76 |