Peer-reviewedCC BY-NC-ND 4.0BMC Genomics
JuxtaBAM: a species and SNP-independent method to validate the integrity of joint epigenomic and transcriptomic profiling datasets
Related
- Decoding gene responsiveness to synthetic chromatin reader-actuators with multi-modal epigenomic profiling.
- Impaired Brain Astrocytic Glycolysis in Neuropathic Pain: Insights from Transcriptomic Profiling to Metabolic Intervention
- Time-Resolved Transcriptomic and Widely Targeted Metabolomic Profiling of Tomato Seedlings During Short-Term Chilling
- 1120 Hyperplex spatial profiling of transcriptomic, proteomic, and protein–protein proximity layers for an in-depth characterization of the tumor microenvironment
- Active-learning-guided optimization of cell-free systems for genome-wide transcriptomic profiling reveals progressive layers of regulation
BibTeX
@article{razavimohseni2026juxtabam,
title = {{JuxtaBAM: a species and SNP-independent method to validate the integrity of joint epigenomic and transcriptomic profiling datasets}},
author = {Milad Razavi-Mohseni and Michael A. Beer},
journal = {BMC Genomics},
year = {2026},
month = oct,
doi = {10.1186/s12864-026-13485-1},
url = {https://link.springer.com/article/10.1186/s12864-026-13485-1},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - JuxtaBAM: a species and SNP-independent method to validate the integrity of joint epigenomic and transcriptomic profiling datasets
AU - Milad Razavi-Mohseni
AU - Michael A. Beer
PY - 2026
DA - 2026/10/21
JO - BMC Genomics
DO - 10.1186/s12864-026-13485-1
UR - https://link.springer.com/article/10.1186/s12864-026-13485-1
SN - 1471-2164
ER -