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tiny-count: a counting tool for hierarchical classification and quantification of small RNA-seq reads with single-nucleotide precision.

Alex J TateKristen C BrownTaiowa A Montgomery
Published in: Bioinformatics advances (2023)
tiny-count and other tinyRNA tools are implemented in Python, C++, Cython, and R, and the workflow is coordinated with CWL. tiny-count and tinyRNA are free and open-source software distributed under the GPLv3 license. tiny-count can be installed via Bioconda (https://anaconda.org/bioconda/tiny-count) and both tiny-count and tinyRNA documentation and software downloads are available at https://github.com/MontgomeryLab/tinyRNA. Reference data, including genome and feature information, for certain species can be found at https://www.MontgomeryLab.org.
Keyphrases
  • peripheral blood
  • rna seq
  • machine learning
  • single cell
  • electronic health record
  • deep learning
  • genome wide
  • data analysis
  • health information