Published May 28, 2021 | Version 3
Journal article Open

Protein prediction for trait mapping in diverse populations

  • 1. Program of Bioinformatics, Loyola University Chicago
  • 2. Department of Biology, Loyola University Chicago
  • 3. Broad Institute of MIT and Harvard
  • 4. Beth Israel Deaconess Medical Center
  • 5. University of Southern California
  • 6. Institute of Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor/UCLA Medical Center
  • 7. Laboratory for Clinical Biochemistry Research, University of Vermont
  • 8. Collaborative Health Studies Coordinating Center, University of Washington
  • 9. Department of Epidemiology and Prevention, Wake Forest University School of Medicine
  • 10. Department of Biostatistics, University of Washington
  • 11. Department of Biostatistics, University of Michigan
  • 12. Epidemiology Branch, National Heart, Lung and Blood Institute
  • 13. New York Genome Center & Department of Systems Biology, Columbia University
  • 14. Channing Division of Network Medicine, Brigham and Women's Hospital
  • 15. Division of Biomedical Informatics and Personalized Medicine, Department of Medicine, UC Denver Anschutz Medical Campus
  • 16. Departments of Genetics and Pathology, Stanford University
  • 17. Center for Public Health Genomics, University of Virginia
  • 18. Section of Genetic Medicine, The University of Chicago
  • 19. Program in Bioinformatics, Loyola University Chicago

Description

Protein prediction models as constructed in "Protein prediction for trait mapping in diverse populations"

Files

Files (2.4 GB)

Name Size Download all
md5:2a7881255349389f24bebd426dd2b48a
1.7 MB Download
md5:9eb8bcdef5dd6ee8342d1975d465ad14
3.1 MB Download
md5:8f0a5a52493d6d083f0c8134ad176a4f
430.1 kB Download
md5:2675096ecb3dc79b9ced99e8b738f5e9
36.4 kB Download
md5:f008bb41c1446e60c623fc226bb54d29
2.6 MB Download
md5:472a9513febfc0b33a3e5463169d0156
6.3 MB Download
md5:5f550a724dd3e24a3f3ccbcace65d260
364.5 kB Download
md5:36adffa69cf72bda389c48020b3cf320
36.3 kB Download
md5:4f1580175b19502f717a4f26e20cf705
1.0 MB Download
md5:85a4701aaaf9908f255920d97cc27551
1.3 MB Download
md5:66d114631371774a639444c3aa6561bb
221.2 kB Download
md5:3415fec337b44067b8fe8891b3c5146c
13.3 kB Download
md5:6dbed3197b037e71c56ffde0e909af0b
370.4 MB Download
md5:4ee1e18cca1293ac2170f519d179dd13
379.4 MB Download
md5:8c17b57ca203bebffbcddee1f15a1421
150.3 MB Download
md5:3f3fefa03ca956bd2b84877ead8debc1
152.5 MB Download
md5:407ba670de6e213117c5132b91e6b6b6
161.8 MB Download
md5:2571f2480ad071e4cb6b94ae59d2675d
166.8 MB Download
md5:052622c9e0489d9661c2f2ce381a791f
204.9 MB Download
md5:3ab6f0d149225dc20cc141e70a53e9b4
208.1 MB Download
md5:9fec9c473277d72c94350b6b04f6742c
294.6 MB Download
md5:50c6b47056c54623f2c5a441e05f8662
300.6 MB Download
md5:e9a6d8f0a457f56d4f4fddb8bbd35b2a
1.9 MB Download
md5:0777a4a21a0570d4f08192e5fbc6ed9d
3.1 MB Download
md5:359174cd80e2adc2663e9e01a44095f6
430.1 kB Download
md5:9fe521e5428bddb693cdb3963c5276cf
37.5 kB Download
md5:10b23e6b4e60b134d44750f51b84dd21
2.4 MB Download
md5:092864ebf163e17e825b6405d22012a2
4.6 MB Download
md5:5b22d699ad538a3f6a3d962565b384a2
446.5 kB Download
md5:d28d9b79a4d0f35a70cd837ac089185b
36.3 kB Download