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{ "item_title" : "Genomic Analysis Using Digital Signal Processing", "item_author" : [" Alejandro Morales "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/0/12/814/387/0128143878_b.jpg", "price_data" : { "retail_price" : "125.00", "online_price" : "125.00", "our_price" : "125.00", "club_price" : "125.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Genomic Analysis Using Digital Signal Processing|Alejandro Morales

Genomic Analysis Using Digital Signal Processing

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Overview

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.

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Details

  • ISBN-13: 9780128143872
  • ISBN-10: 0128143878
  • Publisher: Academic Press
  • Publish Date: March 2020
  • Page Count: 250

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