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All code developed for collaboration with Akbarian lab analyzing neural Hi-C data and its relevance to schizophrenia

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3D-loop-SZ-risk

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Abstract

All code developed for collaboration with Akbarian lab analyzing neural Hi-C data and its relevance to schizophrenia (SZ). Majority of code is compatible with Juicer tools for Hi-C data analysis. juicer.sh is modified from original AWS Juicer pipeline to run on LSF ghpcc cluster

Contributing to 3D-loop-SZ-risk

All contributions, bug reports, bug fixes, and ideas are welcome!

References

Prashanth Rajarajan*, Tyler Borrman*, Will Liao*, et al. (2018). Neuron-specific signatures in the chromosomal connectome associated with schizophrenia risk. Science

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GNU General Public License v3.0

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All code developed for collaboration with Akbarian lab analyzing neural Hi-C data and its relevance to schizophrenia

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