EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Hic Data Analysis 1st Edition Silvio Bicciato Francesco Ferrari

SKU: BELL-47693120

$ 31.00 ~~$ 45.00~~ (-31%)

0 reviews

Hic Data Analysis 1st Edition Silvio Bicciato Francesco Ferrari instant download after payment.

Publisher: Springer Nature

File Extension: PDF

File size: 11.81 MB

Pages: 355

Author: Silvio Bicciato, Francesco Ferrari

ISBN: 9781071613894, 9781071613900, 1071613898, 1071613901

Language: English

Year: 2021

Edition: 1

Product desciption

Hic Data Analysis 1st Edition Silvio Bicciato Francesco Ferrari by Silvio Bicciato, Francesco Ferrari 9781071613894, 9781071613900, 1071613898, 1071613901 instant download after payment.

This volume details a comprehensive set of methods and tools for Hi-C data processing, analysis, and interpretation. Chapters cover applications of Hi-C to address a variety of biological problems, with a specific focus on state-of-the-art computational procedures adopted for the data analysis. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Hi-C Data Analysis: Methods and Protocols aims to help computational and molecular biologists working in the field of chromatin 3D architecture and transcription regulation.