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Cited by 465

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

Open access
Vander Heiden, Jason A., Yaari, Gur, Uduman, Mohamed, Stern, Joel N.H., O’Connor, Kevin C., Hafler, David A., Vigneault, Francois, Kleinstein, Steven H.·2014·Bioinformatics

Abstract

Summary: 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 . Contact: steven.kleinstein@yale.edu Supplementary information: Supplementary data are available at Bioinformatics online.

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Metadata

Authors
Vander Heiden, J. A., Yaari, G., Uduman, M., Stern, J. N. H., O’Connor, K. C., Hafler, D. A., Vigneault, F., & Kleinstein, S. H.
Venue
Bioinformatics
Published
2014-03-10
Volume
30
Issue
13
Pages
1930-1932
ISSN
  • 1367-4803 (ISSN-L)
  • 1367-4811
OpenAlex
W2151558930
Cited by
465
References
12
FWCI
6.69
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires. https://app.cochat.ai/papers/10.1093/bioinformatics/btu138
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Vander Heiden, J. A., Yaari, G., Uduman, M., Stern, J. N. H., O’Connor, K. C., Hafler, D. A., Vigneault, F., & Kleinstein, S. H. (2014). pRESTO: a toolkit for processing high-throughput sequencing raw reads of lymphocyte receptor repertoires. Bioinformatics. https://doi.org/10.1093/bioinformatics/btu138

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