Related genomes of genome POPTR based on shared OMA groups

How does the search work?

Input a query in the search field. Everytime you press Space or Enter after a word, a token will be created. The token is composed of a prefix describing how the query should be treated and the actual query itself.

What are the different types of tokens?

Each token represents either a Gene, HOG, OMA group, or Taxon. Prefixes are used to specify which category to associate with the query term.

Category	Prefixes
Genes	id, go, ec, description, domain, sequence
HOGs	hog, sequence
OMA Groups	omagroup, fingerprint, sequence
Taxon	species, taxid, taxon

For example, the token [go:4225] will search for genes in the OMA database annotated with the GO:0004225 gene ontology term.
How to search for a multi-word query?

If your query term is composed of multiple words (e.g homo sapiens), use " " to encapsulate it.

How many tokens can I have?

There is no limit on the number of tokens. It is not possible to enter multiple tokens of different categories, except taxon, which can be combined with other categories. For example, you can search for 'hog:60627 species:HUMAN' to return human genes found in HOG:606207.

How to edit/delete a token?

To edit a query, click on it to modify the input field. To edit a prefix, click on the dropdown icon to select another one. To remove a token, click on the x to delete it.

Autosuggest

Typing a query without hitting enter or space will prompt an autosuggestion for the identifier after a few seconds.

Search

How does the search work?

Input a query in the search field. Everytime you press Space or Enter after a word, a token will be created. The token is composed of a prefix describing how the query should be treated and the actual query itself.

What are the different types of tokens?

Each token represents either a Gene, HOG, OMA group, or Taxon. Prefixes are used to specify which category to associate with the query term.

Category	Prefixes
Genes	id, go, ec, description, domain, sequence
HOGs	hog, sequence
OMA Groups	omagroup, fingerprint, sequence
Taxon	species, taxid, taxon

For example, the token [go:4225] will search for genes in the OMA database annotated with the GO:0004225 gene ontology term.
How to search for a multi-word query?

If your query term is composed of multiple words (e.g homo sapiens), use " " to encapsulate it.

How many tokens can I have?

There is no limit on the number of tokens. It is not possible to enter multiple tokens of different categories, except taxon, which can be combined with other categories. For example, you can search for 'hog:60627 species:HUMAN' to return human genes found in HOG:606207.

How to edit/delete a token?

To edit a query, click on it to modify the input field. To edit a prefix, click on the dropdown icon to select another one. To remove a token, click on the x to delete it.

Autosuggest

Typing a query without hitting enter or space will prompt an autosuggestion for the identifier after a few seconds.

POPTR - Populus trichocarpa

Proteome version: Ensembl Plants 58; Pop_tri_v4; GCA_000002775.4 with 34699 genes / 52400 proteins.

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Genome information
Chromosome viewer
List genes
Related Species

Based on number of:

Shared OMA groups

Shared HOGs
Synteny

Species with most common OMA groups

Nb.	OMA Group	Scientific Name	Nb. orthologous group
1	GOSHI	Gossypium hirsutum	21491
2	BRANA	Brassica napus	18373
3	SOYBN	Glycine max	18051
4	TOBAC	Nicotiana tabacum	17600
5	WHEAT	Triticum aestivum	17381
6	ACTCC	Actinidia chinensis var. chinensis	15731
7	MANES	Manihot esculenta	15543
8	GOSRA	Gossypium raimondii	14650
9	GOSAR	Gossypium arboreum	14443
10	QUELO	Quercus lobata	14070

Species with least common OMA groups

Nb.	OMA Group	Scientific Name	Nb. orthologous group
1	RALSL	Ralstonia solanacearum	50
2	UC116	Patescibacteria group bacterium E44_bin74	55
3	ZINIC	Zinderia insecticola (strain CARI)	56
4	MYCHA	Mycoplasma haemolamae (strain Purdue)	56
5	MYCS3	Mycoplasma suis (strain KI_3806)	59
6	MYCWM	Mycoplasma wenyonii (strain Massachusetts)	60
7	MYCSL	Mycoplasma suis (strain Illinois)	62
8	UC179	candidate division Kazan bacterium GW2011_GWA1_50_15 none	63
9	UC149	Candidatus Huberarchaeum crystalense CG_4_9_14_0_8_um_filter_31_21	66
10	UC105	Patescibacteria group bacterium Baikal-deep-G193	67