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PRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires.


ABSTRACT:

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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.

SUBMITTER: Vander Heiden JA 

PROVIDER: S-EPMC4071206 | biostudies-literature | 2014 Jul

REPOSITORIES: biostudies-literature

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pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires.

Vander Heiden Jason A JA   Yaari Gur G   Uduman Mohamed M   Stern Joel N H JN   O'Connor Kevin C KC   Hafler David A DA   Vigneault Francois F   Kleinstein Steven H SH  

Bioinformatics (Oxford, England) 20140310 13


<h4>Unlabelled</h4>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 rece  ...[more]

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