Name
Title | ||
|---|---|---|
pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires. |
Abstract | ||
|---|---|---|
Driven by dramatic technological improvements, large-scale characterization of lymphocyte receptor repertoires via high-throughput sequencing is now feasible. Although promising, the high germline and somatic diversity, especially of B-cell immunoglobulin repertoires, presents challenges for analysis requiring the development of specialized computational pipelines. We developed the REpertoire Sequencing TOolkit (pRESTO) for processing reads from high-throughput lymphocyte receptor studies. pRESTO processes raw sequences to produce error-corrected, sorted and annotated sequence sets, along with a wealth of metrics at each step. The toolkit supports multiplexed primer pools, single-or paired-end reads and emerging technologies that use single-molecule identifiers. pRESTO has been tested on data generated from Roche and Illumina platforms. It has a built-in capacity to parallelize the work between available processors and is able to efficiently process millions of sequences generated by typical high-throughput projects. Availability and implementation: pRESTO is freely available for academic use. The software package and detailed tutorials may be downloaded from http://clip.med.yale.edu/presto. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1093/bioinformatics/btu138 | BIOINFORMATICS |
Field | DocType | Volume |
Identifier,Computer science,Software,DNA sequencing,Bioinformatics | Journal | 30 |
Issue | ISSN | Citations |
13 | 1367-4803 | 11 |
PageRank | References | Authors |
1.37 | 4 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jason A. Vander Heiden | 1 | 19 | 2.93 |
| Gur Yaari | 2 | 22 | 5.55 |
| Mohamed Uduman | 3 | 26 | 3.72 |
| Joel N. H. Stern | 4 | 11 | 1.37 |
| Kevin C. O'Connor | 5 | 11 | 1.37 |
| David A Hafler | 6 | 63 | 5.68 |
| Francois Vigneault | 7 | 11 | 1.37 |
| Steven H Kleinstein | 8 | 95 | 16.45 |