Sequences for MOUSE28048

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.

Gene MOUSE28048 (CB072_MOUSE)

E Mus musculus | Uncharacterized protein C2orf72 homolog [2810459M11Rik]

‹

Orthologs 63

Required orthology evidence:

OMA pairs ?

HOG ?

OMA Group ?
Paralogs
Gene information
GO Annotations
Sequences/Isoforms 2
Local synteny

	Protein ID	Sequence length	Exons	Domain Architectures	Number exons	Cross reference
	MOUSE28047	286			3	CB072_MOUSE
	MOUSE28048 reference isoform	287			3	CB072_MOUSE

Protein Sequence

Download: Fasta

MESELEALAP RPASPAEPPF QALVEAAGGR GQVLLVGELW EREQSRALLR DFAGAVFPPE    60
SAPGKPGCAE AESAGTAAAT ESHGAPGAKA ERAIRSPLVF VLCRVGSLTS RESRRRLREM   120
LRDVRDRRCE GAALVGVLVA DTGADDARAP ELQLLETLLR TVFGRQVGGP VQAAAFRPGC   180
PASSLAVQEA ACRALQAAGP GRPAEGAWER PARTGLLTCF SWGPRRQRKN RGVTSSQGPA   240
QEHLQFSEEE LALTPVFPNG DCEDRGNGSR AQDGGVHIPP DPPEDTR                 287

cDNA Sequence

Download: Fasta

ATGGAGAGCG AGCTGGAGGC GCTGGCCCCG CGGCCCGCGA GCCCGGCGGA GCCACCCTTC    60
CAGGCGTTGG TGGAGGCGGC GGGTGGCCGC GGGCAGGTGC TGCTGGTGGG CGAGCTGTGG   120
GAGCGCGAGC AGAGCCGCGC GCTGCTGAGG GACTTCGCCG GTGCCGTGTT CCCGCCGGAG   180
TCCGCGCCGG GCAAGCCGGG CTGCGCAGAG GCCGAGAGCG CGGGCACCGC GGCGGCCACC   240
GAGTCGCACG GGGCTCCGGG GGCGAAGGCG GAGCGAGCCA TTCGCTCGCC GCTCGTTTTC   300
GTGCTGTGCC GCGTCGGATC GCTGACCTCC CGGGAGTCGC GGCGCCGCCT GCGGGAGATG   360
CTGCGGGACG TGCGCGACCG GAGGTGTGAG GGCGCCGCGC TGGTCGGAGT GCTGGTGGCC   420
GACACGGGTG CGGATGACGC GAGGGCGCCC GAACTGCAGC TGCTCGAGAC GCTGCTGCGC   480
ACGGTGTTCG GCCGCCAGGT CGGGGGCCCG GTGCAAGCAG CAGCCTTTCG TCCCGGCTGT   540
CCCGCCTCCA GCCTGGCGGT CCAGGAGGCG GCCTGCAGAG CCCTGCAAGC TGCGGGGCCG   600
GGACGACCAG CAGAAGGTGC CTGGGAAAGA CCTGCCCGCA CTGGCCTACT GACTTGCTTC   660
TCCTGGGGTC CTCGGAGGCA GAGGAAGAAC CGAGGTGTCA CCTCCTCTCA AGGCCCAGCT   720
CAAGAACACC TCCAGTTCTC GGAAGAGGAG CTTGCACTGA CACCTGTATT TCCCAATGGA   780
GACTGTGAAG ACCGTGGAAA TGGATCTAGA GCCCAGGATG GTGGTGTCCA CATCCCACCT   840
GACCCCCCAG AGGACACAAG ATGA                                          864