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hybrid · semantic + lexical · 1 datasets ranked · 2.71s

Structuretensor1
Depthmeasured1
Licenseopen1
Accessopen1
Formathdf51
Sourcezenodo1
clear
1-1 of 1sortrelevancemeasured firstqualitysize
tensor

Precomputed Databases for OMAmer

0.00

Altenhoff, Adrian

6 files · 100 MB · hdf5

OMAmer - tree-driven and alignment-free protein assignment to subfamilies OMAmer is an alignment-free protein family assignment method designed to avoid overly specific subfamily predictions and to scale efficiently to phylogenomic databases containing thousands of genomes. It relies on an innovative approach that uses evolutionarily informed k-mers for alignment-free mapping to ancestral protein subfamilies. This dataset provides precomputed OMAmer databases derived from the Hierarchical Orthologous Groups in the OMA Browser . We aim to update these databases with every new OMA Browser release. Each OMAmer database is built using the latest version of the OMAmer package available at the time of the corresponding OMA Browser release. The dataset includes databases for different subsets of the species taxonomy. In most cases, we recommend using the LUCA.h5 database, which contains information from all species in the OMA database. The subset-specific databases are mainly useful when disk space is limited. The release May2026 is based on the OMA Browser release May 2026 which comprises 2983 species. We used OMAmer version 2.1.0 to build these databases.

open·CC-BY-4.0·Zenodo·completeSource
closeopen full
tabular · zenodo

2024-04-08 Partial Solar Eclipse ESID#204

Winter, Henry · Severino, MaryKay · Volunteer Scientist

measured·open·16 files
Measuredstructure observed by touching the bytes
topology
tabular
records
7
sampled
full dataset
null rate
59.7%
duplicate rate
0.0%
size
985 B
profiler
tabular:stdlib/v1

Measured the full file.

Columns (11)
columntypenullsdistribution
Variable Namecategorical string0%7 distinct · File Name · File Type · Description
Descriptioncategorical string0%7 distinct · Name of the file. · Format of the file. · Short description of the file.
Data Typecategorical string0%3 distinct · String · Float · Hexadecimal String
Unitscategorical string86%1 distinct · kilobytes
Size KB
categorical string
100%
0 distinct
Sourcecategorical string0%3 distinct · Manual Entry · Calculated by the Python 3 routine os.path.getsize · Calculated by the compute_sha_512_hash.py function using the SHA-512 algorithm.
Code Meaningcategorical string71%1 distinct · NA- Not Available or Not Applicable
Notes 1categorical string100%0 distinct
Notes 2categorical string100%0 distinct
Notes 3categorical string100%0 distinct
Notes 4categorical string100%0 distinct
Columns by kind
Columns with missing values