- About this Journal ·
- Abstracting and Indexing ·
- Advance Access ·
- Aims and Scope ·
- Annual Issues ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
International Journal of Evolutionary Biology
Volume 2012 (2012), Article ID 917678, 11 pages
Genomic Structure and Evolution of Multigene Families: “Flowers” on the Human Genome
1Center for the Promotion of Integrated Sciences, The Graduate University for Advanced Studies (SOKENDAI), Hayama, Kanagawa 240-0193, Japan
2Department of Biochemistry and Molecular Biology, Pennsylvania State University, 312 Wartik Laboratory, University Park, PA 16802, USA
3Institute for Amphibian Biology, Graduate School of Science, Hiroshima University, Higashihiroshima, Hiroshima 739-8526, Japan
4Laboratory of Plant Genetics, Graduate School of Agriculture, Kyoto University, Kyoto 606-8502, Japan
5Department of Evolutionary Studies of Biosystems, The Graduate University for Advanced Studies (SOKENDAI), Hayama, Kanagawa 240-0193, Japan
6The Graduate University for Advanced Studies (SOKENDAI), Hayama, Kanagawa 240-0193, Japan
Received 29 December 2011; Revised 6 April 2012; Accepted 9 April 2012
Academic Editor: Hirohisa Kishino
Copyright © 2012 Hie Lim Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Table S1. List of the 291 Flowers identified in the present study.
Table S2. List of genes contained in Flowers.
Table S3. List of GO id of genes contained in Flowers.
Figure S1. Distribution of Flower length.
Figure S2. Dot-plot of the largest Flower.
Figure S3. Distribution of maximum and minimum identity.
Figure S4. The number of BLAST hits, categorized by percent identity.