机构:
Yale Univ, Program Computat Biol & Bioinformat, New Haven, CT 06520 USAYale Univ, Program Computat Biol & Bioinformat, New Haven, CT 06520 USA
Lam, Hugo Y. K.
[1
]
Khurana, Ekta
论文数: 0引用数: 0
h-index: 0
机构:
Yale Univ, Dept Mol Biophys & Biochem, New Haven, CT 06520 USAYale Univ, Program Computat Biol & Bioinformat, New Haven, CT 06520 USA
Khurana, Ekta
[2
]
Fang, Gang
论文数: 0引用数: 0
h-index: 0
机构:
Yale Univ, Dept Mol Biophys & Biochem, New Haven, CT 06520 USAYale Univ, Program Computat Biol & Bioinformat, New Haven, CT 06520 USA
Fang, Gang
[2
]
Cayting, Philip
论文数: 0引用数: 0
h-index: 0
机构:
Yale Univ, Dept Mol Biophys & Biochem, New Haven, CT 06520 USAYale Univ, Program Computat Biol & Bioinformat, New Haven, CT 06520 USA
Cayting, Philip
[2
]
Carriero, Nicholas
论文数: 0引用数: 0
h-index: 0
机构:
Yale Univ, Dept Comp Sci, New Haven, CT 06520 USAYale Univ, Program Computat Biol & Bioinformat, New Haven, CT 06520 USA
Carriero, Nicholas
[3
]
Cheung, Kei-Hoi
论文数: 0引用数: 0
h-index: 0
机构:
Yale Univ, Dept Comp Sci, New Haven, CT 06520 USA
Yale Univ, Ctr Med Informat, New Haven, CT 06520 USA
Yale Univ, Dept Genet, New Haven, CT 06520 USAYale Univ, Program Computat Biol & Bioinformat, New Haven, CT 06520 USA
Cheung, Kei-Hoi
[3
,4
,5
]
Gerstein, Mark B.
论文数: 0引用数: 0
h-index: 0
机构:
Yale Univ, Program Computat Biol & Bioinformat, New Haven, CT 06520 USA
Yale Univ, Dept Mol Biophys & Biochem, New Haven, CT 06520 USA
Yale Univ, Dept Comp Sci, New Haven, CT 06520 USAYale Univ, Program Computat Biol & Bioinformat, New Haven, CT 06520 USA
Gerstein, Mark B.
[1
,2
,3
]
机构:
[1] Yale Univ, Program Computat Biol & Bioinformat, New Haven, CT 06520 USA
[2] Yale Univ, Dept Mol Biophys & Biochem, New Haven, CT 06520 USA
[3] Yale Univ, Dept Comp Sci, New Haven, CT 06520 USA
[4] Yale Univ, Ctr Med Informat, New Haven, CT 06520 USA
[5] Yale Univ, Dept Genet, New Haven, CT 06520 USA
PROTEIN FAMILIES;
IDENTIFICATION;
GENES;
REACTIVATION;
EXPRESSION;
EVOLUTION;
PFAM;
D O I:
10.1093/nar/gkn758
中图分类号:
Q5 [生物化学];
Q7 [分子生物学];
学科分类号:
071010 ;
081704 ;
摘要:
Pseudofam (http://pseudofam.pseudogene.org) is a database of pseudogene families based on the protein families from the Pfam database. It provides resources for analyzing the family structure of pseudogenes including query tools, statistical summaries and sequence alignments. The current version of Pseudofam contains more than 125 000 pseudogenes identified from 10 eukaryotic genomes and aligned within nearly 3000 families (approximately one-third of the total families in PfamA). Pseudofam uses a large-scale parallelized homology search algorithm (implemented as an extension of the PseudoPipe pipeline) to identify pseudogenes. Each identified pseudogene is assigned to its parent protein family and subsequently aligned to each other by transferring the parent domain alignments from the Pfam family. Pseudogenes are also given additional annotation based on an ontology, reflecting their mode of creation and subsequent history. In particular, our annotation highlights the association of pseudogene families with genomic features, such as segmental duplications. In addition, pseudogene families are associated with key statistics, which identify outlier families with an unusual degree of pseudogenization. The statistics also show how the number of genes and pseudogenes in families correlates across different species. Overall, they highlight the fact that housekeeping families tend to be enriched with a large number of pseudogenes.