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Three-dimensional Genome Organization Maps in Normal Haematopoietic Stem Cells and Acute Myeloid Leukemia

Benny Wang, Lingshi Kong, Deepak Babu, Ruchi Choudhary, Winnie Fam, Jia Qi Tng, Yufen Goh, Bertrand Wong Jern Han, Xin&n..

Widespread false gene gains caused by duplication errors in genome assemblies

Byung June Ko,  Chul Lee, Juwan Kim,  Arang Rhie,  DongAhn Yoo, Kerstin Howe, Jonathan Wood, Seoae Cho, Samara Brown, Giulio Formenti, Erich..

False gene and chromosome losses affected by assembly and sequence errors

Juwan Kim, Chul Lee,  Byung June Ko, DongAhn Yoo, Sohyoung Won,  Adam Phillippy, Olivier Fedrigo,  Guojie Zhan..

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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)