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Events

Webinars

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WEBINAR: Deciphering the mechanisms of disease—HiChIP application expansion into tissues, transcription factors, and beyond
DATE & TIME December 1st, 2020 @ 9:00AM-10:00AM PDT Arima Genomics is pleased to host the following researchers who have implemented our HiChIP technology to address their biological questions. Arima Genomics will also be announcing our Early Access Program focused on the validation of our HiChIP technology within a variety of tissues and transcription factors. Agenda: 9:00 - 9:25AM - Anthony Schmitt, Arima Genomics, "Arima HiChIP - Accurate discovery of active gene regulatory interactions" 9:25 - 9:45AM - Lindsey Mon
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Publications

Benchmarking of next and third generation sequencing technologies and their associated algorithms for de novo genome assembly

Marios Gavrielatos, Konstantinos Kyriakidis, Demetrios A. Spandidos & Ioannis Michalopoulos..

A CRISPR Screen Identifies Myc-associated Zinc Finger Protein (MAZ) as an Insulator Functioning at CTCF boundaries in Hox Clusters

Havva Ortabozkoyun-Kara,  Pin-Yao Huang,  Hyunwoo Cho, Varun Narendra,  Gary Leroy,  Jane A. Skok, Aristotelis Tsir..


Biop-C: A Method for Chromatin Interactome Analysis of Solid Cancer Needle Biopsy Samples

Sambhavi Animesh, Ruchi Choudhary, Xin Yi Ng, Joshua Kai Xun Tay, Wan-Qin Chong, Boon Cher Goh & Melissa Jane Fullwood..


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We are pleased with the informative nature and quality of the Arima-HiChIP data.  Not only do we observe intrachromosomal cis-regulatory interactions across cancer genomes, but also interchromosomal ectopic cis-regulatory interactions on rearranged chromosomes.  We think this data will help better delineate the relationship between genetic and epigenetic driver events in cancer.

Peter Scacheri, PhD

Professor, Case Western University School of Medicine

Arima Genomics is an integral technology partner of the G10K consortium and Phase I of the VGP project. Arima was selected for Phase I based on the quality of their data, proven by their ability to generate reproducible and high-quality data despite variability in input sample quality and quantity. 

Gene Myers, PhD

G10K Council Member and Director, Max-Planck Institute of Molecular Cell Biology and Genetics

When we tested Arima-HiC kit in our hands, we consistently got very high-quality libraries. Particularly, the fraction of interchromosomal reads is reduced.

Daan Noordermeer, PhD

Group Leader, Chromatin Dynamics Group at French National Centre for Scientific Research (CNRS)