Hi-C Data Analysis
☆☆☆☆☆
(0 reviews)
Lowest price (incl. delivery)
138,00 USD
Typical price1 839,74 PLN
Lowest (90 days)87,50 PLN
Offers7
Last updated1 settimana fa
Price history (90 days)
Full history
2026-08-08
2026-08-15
| Aggiornato il | Prezzo |
|---|---|
| 2026-08-08 | 87,50 |
| 2026-08-15 | 87,50 |
| Venditore | Product price | Delivery | Totale | Disponibilità | Updated | |
|---|---|---|---|---|---|---|
| SP SpringerNatureLink Shop INT | 109,00 USD | 29,00 USD | 138,00 USD | Disponibile | 5 giorni fa | View offer |
| SP SpringerNatureLink Shop INT | 28 599,00 JPY | free | 28 599,00 JPY | Disponibile | 5 giorni fa | View offer |
| SP Springer Nature Author | 28 599,00 JPY | 15,00 JPY | 28 614,00 JPY | Disponibile | 1 settimana fa | View offer |
| SP SpringerNatureLink Shop INT | 199,99 USD | 25,00 USD | 224,99 USD | Disponibile | 5 giorni fa | View offer |
| SP SpringerNatureLink Shop INT | 219,99 USD | free | 219,99 USD | Disponibile | 5 giorni fa | View offer |
| SP SpringerNatureLink Shop INT | 219,99 USD | 15,00 USD | 234,99 USD | Disponibile | 5 giorni fa | View offer |
| SP SpringerNatureLink Shop INT | 236,00 EUR | free | 236,00 EUR | Disponibile | 5 giorni fa | View offer |
I prezzi e la disponibilità possono variare. Ultimo aggiornamento: 08.08.2026 22:56.
0,0
☆☆☆☆☆
0 reviews
5★
0%
4★
0%
3★
0%
2★
0%
1★
0%
Product reviews
No reviews yet — be the first!
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.