Non-Fiction Books:

Handbook of Big Data Analytics in Life Sciences



Customer rating

Click to share your rating 0 ratings (0.0/5.0 average) Thanks for your vote!

Share this product

Handbook of Big Data Analytics in Life Sciences

Pre-order to reserve stock from our first shipment. Your credit card will not be charged until your order is ready to ship.

Available for pre-order now
Pre-order Price Guarantee

If you pre-order an item and the price drops before the release date, you’ll pay the lowest price. This happens automatically when you pre-order and pay by credit card or pickup.

If paying by PayPal or internet banking, and the price drops after you have paid, you can ask for the difference to be refunded. Find out more

If Mighty Ape's price changes before release, you'll pay the lowest price.


This product will be released on

Delivering to:

It should arrive:

  • 12-16 April using standard courier delivery
    Unlikely to arrive before Christmas


This handbook serves as an authoritative guide to Big Data pursuits in various branches of life sciences, with an emphasis on computational paradigms, tools, and techniques that are beginning to shape the Big Data advances within the life sciences domain. The term "life sciences" is meant to encompass a breadth of topics emerging from plant and animal sciences, human health and medicine, and microbiology.
Release date NZ
April 8th, 2019
Edited by Ananth Kalyanaraman Edited by Jaroslaw Zola Edited by Srinivas Aluru
100 Illustrations, black and white
Country of Publication
United States
Productivity Press
Product ID

Customer previews

Nobody has previewed this product yet. You could be the first!

Write a Preview

Help & options

  • If you think we've made a mistake or omitted details, please send us your feedback. Send Feedback
  • If you have a question or problem with this product, visit our Help section. Get Help
  • Seen a lower price for this product elsewhere? We'll do our best to beat it. Request a better price
Filed under...

Buy this and earn 1,780 Banana Points