Back

MDAtlas: A Multiomics Meniere Disease Database of Genes and Cells

Bagheri-Lotfabad, K.; Cruz-Granados, P.; Umair, M.; Parra-Perez, A. M.; Mohseni, S.; Pham, M. T.; Bianco Bortoletto, G.; Huhn Kim, S.; Friedman, R. A.; Burn, D.; Lopez-Escamez, J. A.; Meniere Disease Multiomic Aggregation Consortium (MD-MAC),

2025-10-07 genetic and genomic medicine
10.1101/2025.10.03.25336856 medRxiv
Show abstract

The MDAtlas is a crowdsourcing initiative to provide an open access resource with multiomic dataset about Meniere Disease (MD) -a debilitating audiovestibular disorder- to the scientific/medical community. The platform (https://multiomic-md.sydney.edu.au) integrates anonymised genomic, transcriptomic and epigenomic datasets from several MD cohorts with diverse ancestry through the MD multiomic Agreggation Consortium (MD-MAC), helping users investigate common and rare genomic variability, immune cell gene expression, and DNA methylation patterns involved in these conditions. MDAtlas supports secure data upload, advanced filtering, and easy downloading, allowing researchers to compare datasets across populations and discover new disease mechanisms or biomarkers for diagnosis and therapy. By providing interactive tools and harmonized data, MDAtlas accelerates scientific progress and collaboration in hearing and vestibular research.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Bioinformatics
◐ 1204 papers in training set
Top 1%
18.4%
Similar papers in this journal
2
GigaScience
◐ 212 papers in training set
Top 0.1%
10.6%
Similar papers in this journal
3
PLOS ONE
● 5266 papers in training set
Top 25%
6.2%
Similar papers in this journal
4
Bioinformatics Advances
◐ 203 papers in training set
Top 0.8%
6.2%
Similar papers in this journal
5
Human Mutation
○ 34 papers in training set
Top 0.1%
5.4%
6
Database
◐ 61 papers in training set
Top 0.1%
5.4%
Similar papers in this journal
50% of probability mass above
7
BMC Bioinformatics
○ 457 papers in training set
Top 3%
3.2%
8
Scientific Data
○ 209 papers in training set
Top 0.8%
3.1%
9
NAR Genomics and Bioinformatics
◐ 242 papers in training set
Top 2%
2.8%
10
Nature Communications
○ 5641 papers in training set
Top 38%
2.6%
11
Computational and Structural Biotechnology Journal
● 242 papers in training set
Top 2%
2.4%
12
Informatics in Medicine Unlocked
○ 22 papers in training set
Top 0.4%
2.1%
13
Genome Medicine
○ 183 papers in training set
Top 2%
2.1%
14
Artificial Intelligence in the Life Sciences
○ 13 papers in training set
Top 0.1%
2.1%
15
Nucleic Acids Research
◐ 1281 papers in training set
Top 8%
1.9%
16
BMC Medical Genomics
○ 50 papers in training set
Top 0.4%
1.9%
17
Data in Brief
○ 14 papers in training set
Top 0.1%
1.7%
18
Journal of Bioinformatics and Systems Biology
○ 15 papers in training set
Top 0.1%
1.3%
19
Genome Biology
○ 637 papers in training set
Top 7%
1.1%
20
Scientific Reports
○ 3612 papers in training set
Top 64%
1.1%
21
PLOS Computational Biology
● 1863 papers in training set
Top 17%
1.1%
22
International Journal of Molecular Sciences
○ 494 papers in training set
Top 11%
1.1%
23
Frontiers in Genetics
○ 230 papers in training set
Top 5%
1.0%
24
Journal of Translational Medicine
○ 57 papers in training set
Top 2%
0.8%
25
Patterns
○ 78 papers in training set
Top 3%
0.6%
26
iScience
○ 1154 papers in training set
Top 41%
0.6%
27
Frontiers in Bioinformatics
○ 49 papers in training set
Top 2%
0.6%
28
Journal of Proteome Research
● 234 papers in training set
Top 2%
0.6%
29
Journal of Molecular Biology
○ 232 papers in training set
Top 4%
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.