A centralized resource for researchers to self-report basic methodological details
For more information, please check out the pre-print:
Synthetic community Hi-C benchmarking provides a baseline for virus-host inferences
https://www.biorxiv.org/content/10.1101/2025.02.12.637985v2
Recommendations
As Hi-C proximity ligation becomes more widely adopted, it is important to assess whether a Z-score threshold of ≥ 0.5 is broadly generalizable. While our SynCom data show that this threshold effectively filters spurious linkages, these results are based on controlled marine virus-host systems. The underlying principle of Hi-C, cross-linking physically proximal DNA fragments, should theoretically allow its application across diverse environments. However, natural systems may introduce variability that impacts the reliability of this threshold.
To support the responsible use of Hi-C for virus-host linkage inference, we offer the following recommendations:
To facilitate consistency in future work, we provide a centralized database for researchers (here) to self-report basic methodological details, promoting transparency and reproducibility across studies. We will be updating this resource with new literature every 6-12 months as funding allows.
Please contact sullivan.948 at osu in order for us to add your details here!