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BlindCall | Base-calling of high-throughput sequencing data by blind deconvolution

A simple and ultra-fast non-probabilistic base-calling method for Illumina high-throughput sequencing data based on blind deconvolution. BlindCall produced base-calls at accuracy comparable to state-of-the-art probabilistic methods while processing data at rates 10 times faster in most cases. The computational complexity of BlindCall scales linearly with read length making it better suited for new long-read sequencing technologies.

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BlindCall forum

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BlindCall classification

BlindCall specifications

Unique identifier:
OMICS_02216
Interface:
Command line interface
Input format:
CIF
Operating system:
Unix/Linux, Mac OS, Windows
Computer skills:
Advanced
Maintained:
Yes
Software type:
Package/Module
Restrictions to use:
None
Biological technology:
Illumina
Programming languages:
MATLAB
Stability:
Stable

BlindCall distribution

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No versioning.

BlindCall support

Maintainer

  • Hector Corrada <>

Credits

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Publications

Institution(s)

Department of Computer Science, University of Maryland, College Park, USA; Center for Bioinformatics and Computational Biology, University of Maryland, College Park, USA; Applied Mathematics and Scientific Computing, University of Maryland, College Park, USA

Funding source(s)

National Institute of Health [R01HG005220, in part] and [R01HG006102, in part]

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