Related genomes of genome TRYCI 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.

TRYCI - Trypanosoma congolense (strain IL3000)

Proteome version: ENA; ASM22739v2; GCA_000227395.2 with 5984 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	TRYCC	Trypanosoma cruzi (strain CL Brener)	1425
2	TRYVY	Trypanosoma vivax (strain Y486)	1219
3	TRYB2	Trypanosoma brucei brucei (strain 927/4 GUTat10.1)	1090
4	TRYRA	Trypanosoma rangeli	1086
5	LEPPY	Leptomonas pyrrhocoris	854
6	LEIIN	Leishmania infantum	833
7	LEIMA	Leishmania major strain Friedlin	831
8	LEIMU	Leishmania mexicana (strain MHOM/GT/2001/U1103)	831
9	LEIDB	Leishmania donovani (strain BPK282A1)	797
10	LEPSE	Leptomonas seymouri	795

Species with least common OMA groups

Nb.	OMA Group	Scientific Name	Nb. orthologous group
1	RALSL	Ralstonia solanacearum	0
2	UC116	Patescibacteria group bacterium E44_bin74	1
3	UC105	Patescibacteria group bacterium Baikal-deep-G193	3
4	UC148	bacterium (Candidatus Torokbacteria) CG_4_10_14_0_2_um_filter_35_8	3
5	UC066	Candidatus Niyogibacteria bacterium NC_groundwater_707_Ag_S-0.2um_45_26	4
6	UC180	Berkelbacteria bacterium GW2011_GWE1_39_12 none	4
7	UC184	candidate division WWE3 bacterium RAAC2_WWE3_1	4
8	UC004	bacterium KR13_S3.mb.88	4
9	UC077	Candidatus Microgenomates bacterium NC_groundwater_396_Ag_B-0.1um_42_16	4
10	UC179	candidate division Kazan bacterium GW2011_GWA1_50_15 none	4