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CAREx: context-aware read extension of paired-end sequencing data.

Felix KallenbornBertil Schmidt
Published in: BMC bioinformatics (2024)
CAREx is a new MSA-based algorithm and software for producing pseudo-long reads from paired-end short read data. It outperforms other state-of-the-art programs in terms of (i) percentage of connected read pairs, (ii) reduction of error rates of filled gaps, (iii) runtime, and (iv) downstream analysis using de novo assembly. CAREx is open-source software written in C++ (CPU version) and in CUDA/C++ (GPU version). It is licensed under GPLv3 and can be downloaded at ( https://github.com/fkallen/CAREx ).
Keyphrases
  • single molecule
  • data analysis
  • electronic health record
  • psychometric properties
  • big data
  • public health
  • single cell
  • deep learning