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GIL: a python package for designing custom indexing primers

SUMMARY: Generate Indexes for Libraries (GIL) is a software tool for generating primers to be used in the production of multiplexed sequencing libraries. GIL can be customized in numerous ways to meet user specifications, including length, sequencing modality, color balancing, and compatibility with...

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Autores principales: Mateyko, Nicholas, Tariq, Omar, Chen, Xinyi E, Cheney, Will, Salaudeen, Asfar Lathif, Luthra, Ishika, Nikpour, Najmeh, Rafi, Abdul Muntakim, Kamali Deghan, Hadis, Jensen, Cassandra, de Boer, Carl
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246578/
https://www.ncbi.nlm.nih.gov/pubmed/37208164
http://dx.doi.org/10.1093/bioinformatics/btad328
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author Mateyko, Nicholas
Tariq, Omar
Chen, Xinyi E
Cheney, Will
Salaudeen, Asfar Lathif
Luthra, Ishika
Nikpour, Najmeh
Rafi, Abdul Muntakim
Kamali Deghan, Hadis
Jensen, Cassandra
de Boer, Carl
author_facet Mateyko, Nicholas
Tariq, Omar
Chen, Xinyi E
Cheney, Will
Salaudeen, Asfar Lathif
Luthra, Ishika
Nikpour, Najmeh
Rafi, Abdul Muntakim
Kamali Deghan, Hadis
Jensen, Cassandra
de Boer, Carl
author_sort Mateyko, Nicholas
collection PubMed
description SUMMARY: Generate Indexes for Libraries (GIL) is a software tool for generating primers to be used in the production of multiplexed sequencing libraries. GIL can be customized in numerous ways to meet user specifications, including length, sequencing modality, color balancing, and compatibility with existing primers, and produces ordering and demultiplexing-ready outputs. AVAILABILITY AND IMPLEMENTATION: GIL is written in Python and is freely available on GitHub under the MIT license: https://github.com/de-Boer-Lab/GIL and can be accessed as a web-application implemented in Streamlit at https://dbl-gil.streamlitapp.com.
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spelling pubmed-102465782023-06-08 GIL: a python package for designing custom indexing primers Mateyko, Nicholas Tariq, Omar Chen, Xinyi E Cheney, Will Salaudeen, Asfar Lathif Luthra, Ishika Nikpour, Najmeh Rafi, Abdul Muntakim Kamali Deghan, Hadis Jensen, Cassandra de Boer, Carl Bioinformatics Applications Note SUMMARY: Generate Indexes for Libraries (GIL) is a software tool for generating primers to be used in the production of multiplexed sequencing libraries. GIL can be customized in numerous ways to meet user specifications, including length, sequencing modality, color balancing, and compatibility with existing primers, and produces ordering and demultiplexing-ready outputs. AVAILABILITY AND IMPLEMENTATION: GIL is written in Python and is freely available on GitHub under the MIT license: https://github.com/de-Boer-Lab/GIL and can be accessed as a web-application implemented in Streamlit at https://dbl-gil.streamlitapp.com. Oxford University Press 2023-05-19 /pmc/articles/PMC10246578/ /pubmed/37208164 http://dx.doi.org/10.1093/bioinformatics/btad328 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Mateyko, Nicholas
Tariq, Omar
Chen, Xinyi E
Cheney, Will
Salaudeen, Asfar Lathif
Luthra, Ishika
Nikpour, Najmeh
Rafi, Abdul Muntakim
Kamali Deghan, Hadis
Jensen, Cassandra
de Boer, Carl
GIL: a python package for designing custom indexing primers
title GIL: a python package for designing custom indexing primers
title_full GIL: a python package for designing custom indexing primers
title_fullStr GIL: a python package for designing custom indexing primers
title_full_unstemmed GIL: a python package for designing custom indexing primers
title_short GIL: a python package for designing custom indexing primers
title_sort gil: a python package for designing custom indexing primers
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246578/
https://www.ncbi.nlm.nih.gov/pubmed/37208164
http://dx.doi.org/10.1093/bioinformatics/btad328
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