ChIP-Seq

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Supercharge Epigenomic Workflows with EAP: A Cloud-Based Platform for Comprehensive and Interactive Analysis of Large ChIP/ATAC-seq Datasets
ByDeotima Chakraborty April 15, 2024October 22, 2026

The significance of comprehending gene expression regulation in tissue development is highlighted by the examination of disease progression through methods such as ChIP-seq and ATAC-seq. On the other hand, the growing volume of data poses computing difficulties, and the dearth of organized tools emphasizes the requirement for effective analysis platforms. Researchers from the Shanghai Institute…

Read More Supercharge Epigenomic Workflows with EAP: A Cloud-Based Platform for Comprehensive and Interactive Analysis of Large ChIP/ATAC-seq Datasets
Bioinformatics | Gene Expression | News | Paper Summary | Sequencing | Trending

ChIP-DIP Multiplexing Method Maps Hundreds of Proteins to DNA Decoding Gene Expression Regulation
ByDeotima Chakraborty December 30, 2023January 4, 2024

The dynamic localization of thousands of unique regulatory proteins to specific DNA sequences regulates the expression of genes. It has been a longstanding objective of molecular biology to comprehend this cell-type specific mechanism. However, it is still difficult because the majority of DNA-protein mapping techniques only look at one protein at a time. A study…

Read More ChIP-DIP Multiplexing Method Maps Hundreds of Proteins to DNA Decoding Gene Expression Regulation
Bioinformatics | Deep Learning | News | Paper Summary | Tools | Trending

Scientists Develop a Deep Learning Model ‘CAESAR’ to Connect High-Resolution 3-Dimensional Chromatin Organization With Epigenomics
ByDr. Tamanna Anwar April 22, 2022June 18, 2022

Researchers from the University of Michigan, USA, developed a deep learning model, CAESAR (Chromosomal structure And EpigenomicS AnalyzeR), to predict nucleosome-resolution 3D chromatin contact maps from existing epigenomic features and lower-resolution Hi-C contact maps. The imputed high-resolution contact maps could help in target finding, hypotheses generation, and other downstream analyses. The resolution of chromatin conformation…

Read More Scientists Develop a Deep Learning Model ‘CAESAR’ to Connect High-Resolution 3-Dimensional Chromatin Organization With Epigenomics

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