Please use this identifier to cite or link to this item:
http://arks.princeton.edu/ark:/88435/dsp01w0892c862| Title: | FIRE-pro: Using mutual information to discover short protein motifs in large-scale data sets |
| Authors: | Lieber, Daniel S. |
| Advisors: | Tavazoie, Saeed |
| Department: | Molecular Biology |
| Class Year: | 2008 |
| Extent: | 86 Pages |
| Format: | Contains color or special media |
| Other Identifiers: | 22641 |
| URI: | http://arks.princeton.edu/ark:/88435/dsp01w0892c862 |
| Location : | This thesis can be viewed in person at the Mudd Manuscript Library. To order a copy complete the Senior Thesis Request Form. For more information contact mudd@princeton.edu. |
| Type of Material: | Princeton University Senior Theses |
| Appears in Collections: | Molecular Biology, 1954-2023 |
Files in This Item:
There are no files associated with this item.
Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.