| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10932423 | Developmental Biology | 2011 | 9 Pages |
Abstract
⺠The usefulness of high-throughput data depends on the ability to interpret it. ⺠Gene Ontology (GO) annotations are used to interpret high-throughput data. ⺠Understanding heart development is important in understanding heart disease. ⺠We have expanded the available GO terms for heart development from 12 to over 280. ⺠This dataset could improve interpretation of cardiovascular high-throughput data.
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Authors
Varsha K. Khodiyar, David P. Hill, Doug Howe, Tanya Z. Berardini, Susan Tweedie, Philippa J. Talmud, Ross Breckenridge, Shoumo Bhattarcharya, Paul Riley, Peter Scambler, Ruth C. Lovering,