↓ Skip to main content

ApE, A Plasmid Editor: A Freely Available DNA Manipulation and Visualization Program

Overview of attention for article published in Frontiers in Bioinformatics, February 2022
Altmetric Badge

Mentioned by

twitter
163 X users

Citations

dimensions_citation
116 Dimensions

Readers on

mendeley
257 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
ApE, A Plasmid Editor: A Freely Available DNA Manipulation and Visualization Program
Published in
Frontiers in Bioinformatics, February 2022
DOI 10.3389/fbinf.2022.818619
Pubmed ID
Authors

M. Wayne Davis, Erik M. Jorgensen

Abstract

A plasmid Editor (ApE) is a free, multi-platform application for visualizing, designing, and presenting biologically relevant DNA sequences. ApE provides a flexible framework for annotating a sequence manually or using a user-defined library of features. ApE can be used in designing plasmids and other constructs via in silico simulation of cloning methods such as PCR, Gibson assembly, restriction-ligation assembly and Golden Gate assembly. In addition, ApE provides a platform for creating visually appealing linear and circular plasmid maps. It is available for Mac, PC, and Linux-based platforms and can be downloaded at https://jorgensen.biology.utah.edu/wayned/ape/.

X Demographics

X Demographics

The data shown below were collected from the profiles of 163 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 257 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 257 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 40 16%
Student > Bachelor 37 14%
Student > Ph. D. Student 27 11%
Student > Master 19 7%
Student > Doctoral Student 15 6%
Other 32 12%
Unknown 87 34%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 84 33%
Agricultural and Biological Sciences 33 13%
Neuroscience 8 3%
Immunology and Microbiology 6 2%
Chemistry 5 2%
Other 27 11%
Unknown 94 37%