The IBEX knowledge-base a community resource enabling adoption and development of immunofluorescence imaging methods

Autor/innen

  • Ziv Yaniv
  • Ifeanyichukwu U. Anidi
  • Leanne Arakkal
  • Armando J. Arroyo-Mejías
  • Rebecca T. Beuschel
  • Katy Börner
  • Colin J. Chu
  • Beatrice Clark
  • Menna R. Clatworthy
  • Jake Colautti
  • Fabian Coscia
  • Joshua Croteau
  • Saven Denha
  • Rose Dever
  • Walderez O. Dutra
  • Sonja Fritzsche
  • Spencer Fullam
  • Michael Y. Gerner
  • Anita Gola
  • Kenneth J. Gollob
  • Jonathan M. Hernandez
  • Jyh Liang Hor
  • Hiroshi Ichise
  • Zhixin Jing
  • Danny Jonigk
  • Evelyn Kandov
  • Wolfgang Kastenmüller
  • Joshua F.E. Koenig
  • Aanandita Kothurkar
  • Rosa K. Kortekaas
  • Alexandra Y. Kreins
  • Ian T. Lamborn
  • Yuri Lin
  • Katia Luciano Pereira Morais
  • Aleksandra Lunich
  • Jean C.S. Luz
  • Ryan B. MacDonald
  • Chen Makranz
  • Vivien I. Maltez
  • John E. McDonough
  • Ryan V. Moriarty
  • Juan M. Ocampo-Godinez
  • Vitoria M. Olyntho
  • Annette Oxenius
  • Kartika Padhan
  • Kirsten Remmert
  • Nathan Richoz
  • Edward C. Schrom
  • Wanjing Shang
  • Lihong Shi
  • Rochelle M. Shih
  • Emily Speranza
  • Salome Stierli
  • Sarah A. Teichmann
  • Tibor Z. Veres
  • Megan Vierhout
  • Brianna T. Wachter
  • Adam K. Wade-Vallance
  • Margaret Williams
  • Nathan Zangger
  • Ronald N. Germain
  • Andrea J. Radtke

Journal

  • eLife

Quellenangabe

  • eLife 14: RP105737

Zusammenfassung

  • The iterative bleaching extends multiplexity (IBEX) Knowledge- Base is a central portal for researchers adopting IBEX and related 2D and 3D immunofluorescence imaging methods. The design of the Knowledge- Base is modeled after efforts in the open- source software community and includes three facets: a development platform (GitHub), static website, and service for data archiving. The Knowledge- Base facilitates the practice of open science throughout the research life cycle by providing validation data for recommended and non- recommended reagents, such as primary and secondary antibodies. In addition to reporting negative data, the Knowledge- Base empowers method adoption and evolution by providing a venue for sharing protocols, videos, datasets, software, and publications. A dedicated discussion forum fosters a sense of community among researchers while addressing questions not covered in published manuscripts. Together, scientists from around the world are advancing scientific discovery at a faster pace, reducing wasted time and effort, and instilling greater confidence in the resulting data.


DOI

doi:10.7554/eLife.105737.1