TY  - JOUR
A1  - Pruitt, Kim D.
A1  - Harrow, Jennifer
A1  - Harte, Rachel A.
A1  - Wallin, Craig
A1  - Diekhans, Mark
A1  - Maglott, Donna R.
A1  - Searle, Steve
A1  - Farrell, Catherine M.
A1  - Loveland, Jane E.
A1  - Ruef, Barbara J.
A1  - Hart, Elizabeth
A1  - Suner, Marie-Marthe
A1  - Landrum, Melissa J.
A1  - Aken, Bronwen
A1  - Ayling, Sarah
A1  - Baertsch, Robert
A1  - Fernandez-Banet, Julio
A1  - Cherry, Joshua L.
A1  - Curwen, Val
A1  - DiCuccio, Michael
A1  - Kellis, Manolis
A1  - Lee, Jennifer
A1  - Lin, Michael F.
A1  - Schuster, Michael
A1  - Shkeda, Andrew
A1  - Amid, Clara
A1  - Brown, Garth
A1  - Dukhanina, Oksana
A1  - Frankish, Adam
A1  - Hart, Jennifer
A1  - Maidak, Bonnie L.
A1  - Mudge, Jonathan
A1  - Murphy, Michael R.
A1  - Murphy, Terence
A1  - Rajan, Jeena
A1  - Rajput, Bhanu
A1  - Riddick, Lillian D.
A1  - Snow, Catherine
A1  - Steward, Charles
A1  - Webb, David
A1  - Weber, Janet A.
A1  - Wilming, Laurens
A1  - Wu, Wenyu
A1  - Birney, Ewan
A1  - Haussler, David
A1  - Hubbard, Tim
A1  - Ostell, James
A1  - Durbin, Richard
A1  - Lipman, David
T1  - The consensus coding sequence (CCDS) project: Identifying a common protein-coding gene set for the human and mouse genomes
Y1  - 2009/07/01 
JF  - Genome Research 
JO  - Genome Research 
SP  - 1316 
EP  - 1323 
DO  - 10.1101/gr.080531.108 
VL  - 19 
IS  - 7 
UR  - http://genome.cshlp.org/content/19/7/1316.abstract 
N2  - Effective use of the human and mouse genomes requires reliable identification of genes and their products. Although multiple public resources provide annotation, different methods are used that can result in similar but not identical representation of genes, transcripts, and proteins. The collaborative consensus coding sequence (CCDS) project tracks identical protein annotations on the reference mouse and human genomes with a stable identifier (CCDS ID), and ensures that they are consistently represented on the NCBI, Ensembl, and UCSC Genome Browsers. Importantly, the project coordinates on manually reviewing inconsistent protein annotations between sites, as well as annotations for which new evidence suggests a revision is needed, to progressively converge on a complete protein-coding set for the human and mouse reference genomes, while maintaining a high standard of reliability and biological accuracy. To date, the project has identified 20,159 human and 17,707 mouse consensus coding regions from 17,052 human and 16,893 mouse genes. Three evaluation methods indicate that the entries in the CCDS set are highly likely to represent real proteins, more so than annotations from contributing groups not included in CCDS. The CCDS database thus centralizes the function of identifying well-supported, identically-annotated, protein-coding regions. 
ER  -