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1st Edition - March 1, 2020
Editor: Alejandro Morales
Genomic Analysis Using Digital Signal Processing presents some of the recent advances and challenges in signal processing analysis of genomic sequences, showing how the use of… Read more
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Immediately download your ebook while waiting for your print delivery. No promo code is needed.
Genomic Analysis Using Digital Signal Processing presents some of the recent advances and challenges in signal processing analysis of genomic sequences, showing how the use of signal processing tools can offer interpretation for the study of genomics and biological function. The book covers several major areas, including mapping the problem, noise in genomic signals, segmentation and signal processing tools, and applications of genomic signal processing. Researchers and graduate students in signal processing, biomedical engineering and bioinformatics will find this book a very useful reference on how signal processing methods can be used for genomic analysis.
Researchers and graduate students in signal processing, biomedical engineering and bioinformatics
1. Introduction2. Bioinformatics and signal processing3. DNA Research Through Perspective Change4. Noise and genomic signals5. Segmentation methods applied to genomic signals6. Comparison among DNA signals: The search for appropriate metrics7. Genomic signals and domain search 8. Studies in Genomic Signal Processing9. Final remarks
AM