Information for HUMAN71408

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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.

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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.

Gene HUMAN71408 (DZIP3_HUMAN)

E Homo sapiens | E3 ubiquitin-protein ligase DZIP3 [DZIP3]

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Orthologs 78

Required orthology evidence:

OMA pairs ?

HOG ?

OMA Group ?
Paralogs 1
Gene information
GO Annotations
Sequences/Isoforms 6
Local synteny

General Information

Description	DAZ interacting zinc finger protein 3 [Source:HGNC Symbol;Acc:HGNC:30938]; transcript_id=ENST00000361582.8
Organism	HUMAN - Homo sapiens
Locus	[ Chromosome 3 ]: 108605407 ... 108690897
Number of exons	31
Exons	join(108605407..108605438, 108608089..108608158, 108611174..108611329, 108616541..108616657, 108624444..108624524, 108625845..108625969, 108629062..108629176, 108632953..108633072, 108634871..108634972, 108636616..108636708, 108637496..108637548, 108642438..108642514, 108644164..108644781, 108646617..108646649, 108647943..108648112, 108648918..108648962, 108651137..108651162, 108654145..108654310, 108661877..108661972, 108662130..108662257, 108669681..108669749, 108672560..108672656, 108674078..108674181, 108675786..108675873, 108677497..108677598, 108684216..108684341, 108686445..108686584, 108687976..108688096, 108688593..108688736, 108688823..108688924, 108690787..108690897)

IDs and Cross-references

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