Back

AncestryHub: A web server for local ancestry analysis

Jiang, S.; Deng, Y.; Li, S.; Liu, C. J.; Luo, J.; Zhu, X.; Song, G. D.; Zhang, K.; Song, Q.; Ma, L.

2025-01-03 bioinformatics
10.1101/2025.01.02.630692 bioRxiv
Show abstract

SummaryAncestryHub is a web version of local ancestry analysis software. It contains four built-in software and a set of built-in population reference panels. AncestryHub will significantly reduce the efforts and requirements for the users on their personal computational skills and computational hardware environment for ancestry analysis. Availabilityhttps://www.ancestryhub.4dgenome.com Contact: lima@4dgenome.com

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Bioinformatics
◐ 1204 papers in training set
Top 0.9%
23.0%
Similar papers in this journal
2
BMC Bioinformatics
○ 457 papers in training set
Top 0.1%
19.0%
Similar papers in this journal
3
Frontiers in Genetics
○ 230 papers in training set
Top 0.1%
9.1%
Similar papers in this journal
50% of probability mass above
4
Briefings in Bioinformatics
◐ 354 papers in training set
Top 0.8%
8.1%
Similar papers in this journal
5
Bioinformatics Advances
◐ 203 papers in training set
Top 1%
4.5%
Similar papers in this journal
6
Database
◐ 61 papers in training set
Top 0.2%
4.2%
7
PeerJ
◐ 308 papers in training set
Top 2%
3.3%
8
PLOS ONE
● 5266 papers in training set
Top 42%
2.2%
9
GigaScience
◐ 212 papers in training set
Top 2%
2.0%
10
Computational and Structural Biotechnology Journal
● 242 papers in training set
Top 3%
1.8%
11
Journal of Bioinformatics and Systems Biology
○ 15 papers in training set
Top 0.1%
1.8%
12
PLOS Computational Biology
● 1863 papers in training set
Top 15%
1.5%
13
Journal of Genetics and Genomics
○ 38 papers in training set
Top 0.4%
1.4%
14
eLife
● 5828 papers in training set
Top 57%
1.2%
15
Genes
○ 144 papers in training set
Top 4%
0.9%
16
F1000Research
○ 88 papers in training set
Top 3%
0.9%
17
BMC Genomics
○ 406 papers in training set
Top 7%
0.9%
18
G3 Genes|Genomes|Genetics
◐ 351 papers in training set
Top 4%
0.9%
19
Journal of Open Source Software
● 25 papers in training set
Top 0.4%
0.9%
20
Scientific Reports
○ 3612 papers in training set
Top 71%
0.9%
21
Genomics, Proteomics & Bioinformatics
188 papers in training set
Top 2%
0.7%
22
Molecular Ecology Resources
○ 171 papers in training set
Top 2%
0.6%
23
BioData Mining
○ 22 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.