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DataJoint Elements: Data Workflows for Neurophysiology

Yatsenko, D.; Nguyen, T.; Shen, S.; Gunalan, K.; Turner, C. A.; Guzman, R.; Sasaki, M.; Sitonic, D.; Reimer, J.; Walker, E. Y.; Tolias, A.

2021-03-30 neuroscience
10.1101/2021.03.30.437358 bioRxiv
Show abstract

A new resource--DataJoint Elements--provides modular designs for assembling complete workflow solutions to organize data and computations for common neurophysiology experiments. The designs are derived from working solutions developed in leading research groups using the open-source DataJoint framework to integrate data collection and analysis in collaborative workflows.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
Frontiers in Neuroinformatics
○ 41 papers in training set
Top 0.1%
13.0%
Similar papers in this journal
2
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● 439 papers in training set
Top 0.1%
12.8%
Similar papers in this journal
3
PLOS Computational Biology
● 1863 papers in training set
Top 3%
10.7%
Similar papers in this journal
4
PLOS ONE
● 5266 papers in training set
Top 18%
9.9%
Similar papers in this journal
5
Neuroinformatics
○ 46 papers in training set
Top 0.1%
9.8%
Similar papers in this journal
50% of probability mass above
6
Journal of Open Source Software
● 25 papers in training set
Top 0.1%
4.1%
7
Journal of Neuroscience Methods
○ 122 papers in training set
Top 0.4%
4.1%
8
Scientific Data
○ 209 papers in training set
Top 0.8%
3.2%
9
GigaScience
◐ 212 papers in training set
Top 2%
2.5%
10
SoftwareX
○ 15 papers in training set
Top 0.1%
2.4%
11
eLife
● 5828 papers in training set
Top 47%
1.9%
12
Nature Protocols
○ 33 papers in training set
Top 0.3%
1.7%
13
Computer Methods and Programs in Biomedicine
○ 28 papers in training set
Top 0.6%
1.4%
14
STAR Protocols
○ 18 papers in training set
Top 0.2%
1.3%
15
Current Protocols
○ 15 papers in training set
Top 0.2%
1.1%
16
Frontiers in Physiology
○ 106 papers in training set
Top 2%
1.0%
17
Wellcome Open Research
○ 67 papers in training set
Top 1.0%
1.0%
18
BMC Bioinformatics
○ 457 papers in training set
Top 5%
0.9%
19
Journal of Visualized Experiments
● 34 papers in training set
Top 0.6%
0.9%
20
Bioinformatics
◐ 1204 papers in training set
Top 9%
0.9%
21
Scientific Reports
○ 3612 papers in training set
Top 71%
0.9%
22
HardwareX
○ 18 papers in training set
Top 0.3%
0.6%
23
Methods
○ 34 papers in training set
Top 0.8%
0.6%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.