GeNets: a unified web platform for network-based genomic analyses

Latest Research

  • Brief Communication |

    The GeNets web platform can identify the most informative network, as well as execute, store and share network-based analyses of RNA-seq or genomic datasets.

    • Taibo Li
    • , April Kim
    • , Joseph Rosenbluh
    • , Heiko Horn
    • , Liraz Greenfeld
    • , David An
    • , Andrew Zimmer
    • , Arthur Liberzon
    • , Jon Bistline
    • , Ted Natoli
    • , Yang Li
    • , Aviad Tsherniak
    • , Rajiv Narayan
    • , Aravind Subramanian
    • , Ted Liefeld
    • , Bang Wong
    • , Dawn Thompson
    • , Sarah Calvo
    • , Steve Carr
    • , Jesse Boehm
    • , Jake Jaffe
    • , Jill Mesirov
    • , Nir Hacohen
    • , Aviv Regev
    •  & Kasper Lage
  • Analysis |

    This Analysis compares and contrasts methods for measuring the mechanical properties of cells by applying the different approaches to the same breast cancer cell line.

    • Pei-Hsun Wu
    • , Dikla Raz-Ben Aroush
    • , Atef Asnacios
    • , Wei-Chiang Chen
    • , Maxim E. Dokukin
    • , Bryant L. Doss
    • , Pauline Durand-Smet
    • , Andrew Ekpenyong
    • , Jochen Guck
    • , Nataliia V. Guz
    • , Paul A. Janmey
    • , Jerry S. H. Lee
    • , Nicole M. Moore
    • , Albrecht Ott
    • , Yeh-Chuin Poh
    • , Robert Ros
    • , Mathias Sander
    • , Igor Sokolov
    • , Jack R. Staunton
    • , Ning Wang
    • , Graeme Whyte
    •  & Denis Wirtz
  • Analysis |

    A direct comparison of 5′-end RNA-seq methods reveals strong performance by CAGE, and identifies differential transcriptional start site usage among brain-related samples.

    • Xian Adiconis
    • , Adam L. Haber
    • , Sean K. Simmons
    • , Ami Levy Moonshine
    • , Zhe Ji
    • , Michele A. Busby
    • , Xi Shi
    • , Justin Jacques
    • , Madeline A. Lancaster
    • , Jen Q. Pan
    • , Aviv Regev
    •  & Joshua Z. Levin
  • Perspective |

    This Perspective highlights recent advances in the use of nanoparticles in super-resolution microscopy and single-molecule tracking. It offers guidance for users interested in these tools and discusses potential future directions.

    • Dayong Jin
    • , Peng Xi
    • , Baoming Wang
    • , Le Zhang
    • , Jörg Enderlein
    •  & Antoine M. van Oijen
  • Article |

    The ProximID approach generates single-cell expression profiles and a network of enriched physical cellular interactions within a tissue.

    • Jean-Charles Boisset
    • , Judith Vivié
    • , Dominic Grün
    • , Mauro J. Muraro
    • , Anna Lyubimova
    •  & Alexander van Oudenaarden

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