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ThirdPeak: A flexible tool designed for the robust analysis of two- and three-dimensional (single-molecule) tracking data.

Engstler, M.; Mueller, T.; Meiser, E.

2024-01-23 biophysics
10.1101/2024.01.23.576823 bioRxiv
Show abstract

ThirdPeak is an open-source tool tailored for the comprehensive analysis of two- and three-dimensional track data across various scales. Its versatile import options facilitate seamless integration into established workflows, and the user interface allows for swift visualization and analysis of the data. When applied to live-cell diffusion data, this software unveils the advantages of combining both 2D and 3D analysis, providing valuable insights into the understanding of biological processes.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
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○ 20 papers in training set
Top 0.1%
11.7%
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2
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Top 4%
6.6%
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3
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6.1%
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4
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Top 0.1%
6.1%
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5
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○ 385 papers in training set
Top 2%
5.4%
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6
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● 5828 papers in training set
Top 29%
4.2%
7
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● 218 papers in training set
Top 0.9%
4.0%
8
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○ 34 papers in training set
Top 0.1%
4.0%
9
Nature Communications
○ 5641 papers in training set
Top 36%
3.2%
50% of probability mass above
10
Biological Imaging
◐ 15 papers in training set
Top 0.1%
2.7%
11
Biophysical Journal
○ 631 papers in training set
Top 2%
2.4%
12
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○ 15 papers in training set
Top 0.1%
2.4%
13
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○ 993 papers in training set
Top 9%
2.3%
14
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◐ 203 papers in training set
Top 3%
2.1%
15
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◐ 1281 papers in training set
Top 8%
1.9%
16
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● 34 papers in training set
Top 0.3%
1.9%
17
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○ 37 papers in training set
Top 0.2%
1.7%
18
Journal of Applied Crystallography
● 14 papers in training set
Top 0.1%
1.7%
19
International Journal of Molecular Sciences
○ 494 papers in training set
Top 9%
1.5%
20
Protein Science
○ 246 papers in training set
Top 3%
1.4%
21
Open Research Europe
○ 14 papers in training set
Top 0.1%
1.3%
22
Wellcome Open Research
○ 67 papers in training set
Top 1%
1.0%
23
Acta Crystallographica Section D Structural Biology
● 59 papers in training set
Top 0.4%
1.0%
24
PLOS Computational Biology
● 1863 papers in training set
Top 19%
1.0%
25
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○ 25 papers in training set
Top 0.3%
1.0%
26
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● 242 papers in training set
Top 7%
0.8%
27
The Journal of Physical Chemistry Letters
● 63 papers in training set
Top 0.8%
0.8%
28
Cell Reports Methods
○ 165 papers in training set
Top 4%
0.8%
29
PLOS ONE
● 5266 papers in training set
Top 63%
0.6%
30
Advanced Biology
○ 29 papers in training set
Top 1%
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.