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HiC-bench: comprehensive and reproducible Hi-C data analysis designed for parameter exploration and benchmarking
View ORCID ProfileCharalampos Lazaris, Stephen Kelly, Panagiotis Ntziachristos, Iannis Aifantis, Aristotelis Tsirigos
doi: https://doi.org/10.1101/084954
Charalampos Lazaris
1Department of Pathology, NYU School of Medicine, New York, NY 10016, USA
2Laura and Isaac Perlmutter Cancer Center and Helen L. and Martin S. Kimmel Center for Stem Cell Biology, NYU School of Medicine, New York, NY 10016, USA
Stephen Kelly
3Applied Bioinformatics Laboratories, Office of Science & Research, NYU School of Medicine, NY 10016, USA
4Genome Technology Center, Office of Science & Research, NYU School of Medicine, NY 10016, USA
Panagiotis Ntziachristos
5Department of Biochemistry and Molecular Genetics, Feinberg School of Medicine, Northwestern University, Chicago, IL 60611, USA
Iannis Aifantis
1Department of Pathology, NYU School of Medicine, New York, NY 10016, USA
2Laura and Isaac Perlmutter Cancer Center and Helen L. and Martin S. Kimmel Center for Stem Cell Biology, NYU School of Medicine, New York, NY 10016, USA
Aristotelis Tsirigos
1Department of Pathology, NYU School of Medicine, New York, NY 10016, USA
2Laura and Isaac Perlmutter Cancer Center and Helen L. and Martin S. Kimmel Center for Stem Cell Biology, NYU School of Medicine, New York, NY 10016, USA
3Applied Bioinformatics Laboratories, Office of Science & Research, NYU School of Medicine, NY 10016, USA
4Genome Technology Center, Office of Science & Research, NYU School of Medicine, NY 10016, USA
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Posted November 17, 2016.
HiC-bench: comprehensive and reproducible Hi-C data analysis designed for parameter exploration and benchmarking
Charalampos Lazaris, Stephen Kelly, Panagiotis Ntziachristos, Iannis Aifantis, Aristotelis Tsirigos
bioRxiv 084954; doi: https://doi.org/10.1101/084954
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