GIL: a python package for designing custom indexing primers

Author:

Mateyko Nicholas1,Tariq Omar1,Chen Xinyi E1,Cheney Will1,Salaudeen Asfar Lathif1,Luthra Ishika1,Nikpour Najmeh1,Rafi Abdul Muntakim1,Kamali Dehghan Hadis1,Jensen Cassandra1,de Boer Carl1ORCID

Affiliation:

1. School of Biomedical Engineering, University of British Columbia , Vancouver, BC V6T 1Z3, Canada

Abstract

Abstract 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.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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