Data management and data enrichment for systems biology projects-Reference-Cited by-同舟云学术

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Data management and data enrichment for systems biology projects

Published:2017-11 Issue: Volume:261 Page:229-237
ISSN:0168-1656
Container-title:Journal of Biotechnology
language:en
Short-container-title:Journal of Biotechnology

Author:

Wittig Ulrike,Rey Maja,Weidemann Andreas,Müller Wolfgang

Funder

Klaus Tschira Foundation

German Federal Ministry of Education and Research

Publisher

Elsevier BV

Subject

Applied Microbiology and Biotechnology,General Medicine,Biotechnology,Bioengineering

Reference38 articles.

1. The importance of uniformity in reporting protein-function data;Apweiler;Trends Biochem. Sci.,2005

2. Calling International Rescue: knowledge lost in literature and data landslide!;Attwood;Biochem. J,2009

3. Curators of the world unite: the International Society of Biocuration;Bateman;Bioinformatics,2010

4. openBIS: a flexible framework for managing and analyzing complex data in biology research;Bauch;BMC Bioinf.,2011

5. Perspective: sustaining the big-data ecosystem;Bourne;Nature,2015

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1. Gain efficiency with streamlined and automated data processing: Examples from high-throughput monoclonal antibody production;2023-12-15

2. Building a FAIR image data ecosystem for microscopy communities;Histochemistry and Cell Biology;2023-06-21

3. Research data management for bioimaging: the 2021 NFDI4BIOIMAGE community survey;F1000Research;2022-09-20

4. Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows;eLife;2022-07-06

5. Research data management for bioimaging: the 2021 NFDI4BIOIMAGE community survey;F1000Research;2022-06-10

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