Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms.
Title | Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms. |
Publication Type | Journal Article |
Authors | Patro R, Mount SM, Kingsford C |
2014 | |
Journal | Nat Biotechnol |
Volume | 32 |
Issue | 5 |
Pages | 462-4 |
algorithms, Brain Chemistry, Computational Biology, HUMANS, Models, Biological, RNA Isoforms, Sequence Analysis, RNA, software | |
We introduce Sailfish, a computational method for quantifying the abundance of previously annotated RNA isoforms from RNA-seq data. Because Sailfish entirely avoids mapping reads, a time-consuming step in all current methods, it provides quantification estimates much faster than do existing approaches (typically 20 times faster) without loss of accuracy. By facilitating frequent reanalysis of data and reducing the need to optimize parameters, Sailfish exemplifies the potential of lightweight algorithms for efficiently processing sequencing reads. | |
10.1038/nbt.2862 | |
PubMed ID | 24752080 |
PubMed Central ID | PMC4077321 |
Grant List | R01 HG007104 / HG / NHGRI NIH HHS / United States R01HG007104 / HG / NHGRI NIH HHS / United States R21 AI085376 / AI / NIAID NIH HHS / United States R21 HG006913 / HG / NHGRI NIH HHS / United States R21AI085376 / AI / NIAID NIH HHS / United States R21HG006913 / HG / NHGRI NIH HHS / United States |