{
"item_title" : "Algorithms for Next-Generation Sequencing Data",
"item_author" : [" Mourad Elloumi "],
"item_description" : "The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly. The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.",
"item_img_path" : "https://covers3.booksamillion.com/covers/bam/3/31/959/824/3319598244_b.jpg",
"price_data" : {
"retail_price" : "159.99", "online_price" : "159.99", "our_price" : "159.99", "club_price" : "159.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Algorithms for Next-Generation Sequencing Data : Techniques, Approaches, and Applications
Overview
The 14 contributed chapters in this book survey the most recent developments in high-performance algorithms for NGS data, offering fundamental insights and technical information specifically on indexing, compression and storage; error correction; alignment; and assembly.
The book will be of value to researchers, practitioners and students engaged with bioinformatics, computer science, mathematics, statistics and life sciences.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9783319598246
- ISBN-10: 3319598244
- Publisher: Springer
- Publish Date: October 2017
- Dimensions: 9.21 x 6.14 x 0.88 inches
- Shipping Weight: 1.53 pounds
- Page Count: 355
Related Categories
