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{ "item_title" : "Searching in Protein Databases. 2nd Edition", "item_author" : [" Akash Nag", "Sunil Karforma "], "item_description" : "Protein databases are growing at exponential rates as more and more sequences are being submitted to protein databases. It takes time to review these sequences, and many of them are often found to be inaccurate. It is therefore necessary to design a system that tracks and connects researchers with their submitted sequences in a secure and authentic way to mitigate risks regarding false submissions and spam. However, a more pressing need is to search these huge databases faster, as searching is the most common job performed by bioinformatics researchers during the course of their work. This book explores both these problems in detail, and offers novel solutions for both safeguarding the submission system as well as to allow faster searching of these huge protein databases.", "item_img_path" : "https://covers2.booksamillion.com/covers/bam/6/20/849/950/620849950X_b.jpg", "price_data" : { "retail_price" : "51.00", "online_price" : "51.00", "our_price" : "51.00", "club_price" : "51.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Searching in Protein Databases. 2nd Edition|Akash Nag

Searching in Protein Databases. 2nd Edition

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Overview

Protein databases are growing at exponential rates as more and more sequences are being submitted to protein databases. It takes time to review these sequences, and many of them are often found to be inaccurate. It is therefore necessary to design a system that tracks and connects researchers with their submitted sequences in a secure and authentic way to mitigate risks regarding false submissions and spam. However, a more pressing need is to search these huge databases faster, as searching is the most common job performed by bioinformatics researchers during the course of their work. This book explores both these problems in detail, and offers novel solutions for both safeguarding the submission system as well as to allow faster searching of these huge protein databases.

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Details

  • ISBN-13: 9786208499501
  • ISBN-10: 620849950X
  • Publisher: LAP Lambert Academic Publishing
  • Publish Date: August 2025
  • Dimensions: 9 x 6 x 0.12 inches
  • Shipping Weight: 0.18 pounds
  • Page Count: 52

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