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f | 1 | { | f | 1 | { |
2 | "author": "Reinsch, Norbert", | 2 | "author": "Reinsch, Norbert", | ||
3 | "author_email": "", | 3 | "author_email": "", | ||
4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | 4 | "creator_user_id": "17755db4-395a-4b3b-ac09-e8e3484ca700", | ||
5 | "doi": "10.22000/284", | 5 | "doi": "10.22000/284", | ||
6 | "doi_date_published": "2021", | 6 | "doi_date_published": "2021", | ||
7 | "doi_publisher": "", | 7 | "doi_publisher": "", | ||
8 | "doi_status": "True", | 8 | "doi_status": "True", | ||
9 | "extra_authors": [ | 9 | "extra_authors": [ | ||
10 | { | 10 | { | ||
11 | "extra_author": "Blunk, Inga", | 11 | "extra_author": "Blunk, Inga", | ||
12 | "orcid": "0000-0003-4945-3302" | 12 | "orcid": "0000-0003-4945-3302" | ||
13 | } | 13 | } | ||
14 | ], | 14 | ], | ||
15 | "groups": [], | 15 | "groups": [], | ||
16 | "id": "10d2b556-e421-4c81-a92b-45b651ae5268", | 16 | "id": "10d2b556-e421-4c81-a92b-45b651ae5268", | ||
17 | "isopen": false, | 17 | "isopen": false, | ||
18 | "license_id": "CC BY 4.0 Attribution", | 18 | "license_id": "CC BY 4.0 Attribution", | ||
19 | "license_title": "CC BY 4.0 Attribution", | 19 | "license_title": "CC BY 4.0 Attribution", | ||
20 | "metadata_created": "2023-01-12T13:30:24.914214", | 20 | "metadata_created": "2023-01-12T13:30:24.914214", | ||
t | 21 | "metadata_modified": "2023-08-04T08:49:14.788704", | t | 21 | "metadata_modified": "2023-08-04T08:51:18.599074", |
22 | "name": "rdr-doi-10-22000-284", | 22 | "name": "rdr-doi-10-22000-284", | ||
23 | "notes": "Method: The guide to practical application of generalized | 23 | "notes": "Method: The guide to practical application of generalized | ||
24 | gametic relationships has three main parts. The first is the source | 24 | gametic relationships has three main parts. The first is the source | ||
25 | code (Fortran2015) of a program for setting up the inverse of a | 25 | code (Fortran2015) of a program for setting up the inverse of a | ||
26 | generalized gametic relationship matrix from pedigree data, a detailed | 26 | generalized gametic relationship matrix from pedigree data, a detailed | ||
27 | program description and example input and output files. In the second | 27 | program description and example input and output files. In the second | ||
28 | part six worked examples are presented, demonstrating in very detail | 28 | part six worked examples are presented, demonstrating in very detail | ||
29 | how various mixed models with generalized gametic relationship | 29 | how various mixed models with generalized gametic relationship | ||
30 | matrices can be implemented using the ASReml package. Each example is | 30 | matrices can be implemented using the ASReml package. Each example is | ||
31 | accompanied by R-code to check model details and the correctness of | 31 | accompanied by R-code to check model details and the correctness of | ||
32 | the ASReml implementation. Finally a large mouse data set (about | 32 | the ASReml implementation. Finally a large mouse data set (about | ||
33 | 13,000 observations on body weight, 153 generations) is provided | 33 | 13,000 observations on body weight, 153 generations) is provided | ||
34 | together with details on how it can be analyzed with different gametic | 34 | together with details on how it can be analyzed with different gametic | ||
35 | models using ASReml.", | 35 | models using ASReml.", | ||
36 | "num_resources": 0, | 36 | "num_resources": 0, | ||
37 | "num_tags": 5, | 37 | "num_tags": 5, | ||
38 | "orcid": "0000-0001-7435-4088", | 38 | "orcid": "0000-0001-7435-4088", | ||
39 | "organization": { | 39 | "organization": { | ||
40 | "approval_status": "approved", | 40 | "approval_status": "approved", | ||
41 | "created": "2023-01-12T13:30:23.238233", | 41 | "created": "2023-01-12T13:30:23.238233", | ||
42 | "description": "RADAR (Research Data Repository) is a | 42 | "description": "RADAR (Research Data Repository) is a | ||
43 | cross-disciplinary repository for archiving and publishing research | 43 | cross-disciplinary repository for archiving and publishing research | ||
44 | data from completed scientific studies and projects. The focus is on | 44 | data from completed scientific studies and projects. The focus is on | ||
45 | research data from subjects that do not yet have their own | 45 | research data from subjects that do not yet have their own | ||
46 | discipline-specific infrastructures for research data management. ", | 46 | discipline-specific infrastructures for research data management. ", | ||
47 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 47 | "id": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
48 | "image_url": "radar-logo.svg", | 48 | "image_url": "radar-logo.svg", | ||
49 | "is_organization": true, | 49 | "is_organization": true, | ||
50 | "name": "radar", | 50 | "name": "radar", | ||
51 | "state": "active", | 51 | "state": "active", | ||
52 | "title": "RADAR", | 52 | "title": "RADAR", | ||
53 | "type": "organization" | 53 | "type": "organization" | ||
54 | }, | 54 | }, | ||
55 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | 55 | "owner_org": "013c89a9-383c-4200-8baa-0f78bf1d91f9", | ||
56 | "private": false, | 56 | "private": false, | ||
57 | "production_year": "2020", | 57 | "production_year": "2020", | ||
58 | "publication_year": "2021", | 58 | "publication_year": "2021", | ||
59 | "publishers": [ | 59 | "publishers": [ | ||
60 | { | 60 | { | ||
61 | "publisher": " Leibniz Institute for Farm Animal Biology (FBN), | 61 | "publisher": " Leibniz Institute for Farm Animal Biology (FBN), | ||
62 | Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany" | 62 | Wilhelm-Stahl-Allee 2, 18196 Dummerstorf, Germany" | ||
63 | } | 63 | } | ||
64 | ], | 64 | ], | ||
65 | "relationships_as_object": [], | 65 | "relationships_as_object": [], | ||
66 | "relationships_as_subject": [], | 66 | "relationships_as_subject": [], | ||
67 | "repository_name": "RADAR (Research Data Repository)", | 67 | "repository_name": "RADAR (Research Data Repository)", | ||
68 | "resource_type": "Workflow - software for computing the inverse | 68 | "resource_type": "Workflow - software for computing the inverse | ||
69 | gametic relationship matrix (source code in Fortran2015) and worked | 69 | gametic relationship matrix (source code in Fortran2015) and worked | ||
70 | small examples using R and the ASReml package). Large mouse data and | 70 | small examples using R and the ASReml package). Large mouse data and | ||
71 | pedigree with various example analyses. ", | 71 | pedigree with various example analyses. ", | ||
72 | "resources": [], | 72 | "resources": [], | ||
73 | "services_used_list": "", | 73 | "services_used_list": "", | ||
74 | "source_metadata_created": "2021", | 74 | "source_metadata_created": "2021", | ||
75 | "source_metadata_modified": "", | 75 | "source_metadata_modified": "", | ||
76 | "state": "active", | 76 | "state": "active", | ||
77 | "subject_areas": [ | 77 | "subject_areas": [ | ||
78 | { | 78 | { | ||
79 | "subject_area_additional": "", | 79 | "subject_area_additional": "", | ||
80 | "subject_area_name": "Agriculture" | 80 | "subject_area_name": "Agriculture" | ||
81 | } | 81 | } | ||
82 | ], | 82 | ], | ||
83 | "tags": [ | 83 | "tags": [ | ||
84 | { | 84 | { | ||
85 | "display_name": "gametic relationship matrix", | 85 | "display_name": "gametic relationship matrix", | ||
86 | "id": "c9fc5110-9af1-44f0-84ed-9cd0bb148e8b", | 86 | "id": "c9fc5110-9af1-44f0-84ed-9cd0bb148e8b", | ||
87 | "name": "gametic relationship matrix", | 87 | "name": "gametic relationship matrix", | ||
88 | "state": "active", | 88 | "state": "active", | ||
89 | "vocabulary_id": null | 89 | "vocabulary_id": null | ||
90 | }, | 90 | }, | ||
91 | { | 91 | { | ||
92 | "display_name": "genomic imprinting", | 92 | "display_name": "genomic imprinting", | ||
93 | "id": "4a04b021-1d9f-4e54-a716-07a169470e7d", | 93 | "id": "4a04b021-1d9f-4e54-a716-07a169470e7d", | ||
94 | "name": "genomic imprinting", | 94 | "name": "genomic imprinting", | ||
95 | "state": "active", | 95 | "state": "active", | ||
96 | "vocabulary_id": null | 96 | "vocabulary_id": null | ||
97 | }, | 97 | }, | ||
98 | { | 98 | { | ||
99 | "display_name": "genomic selection", | 99 | "display_name": "genomic selection", | ||
100 | "id": "18eb4e0f-5dd8-4efa-b15b-70b08120be54", | 100 | "id": "18eb4e0f-5dd8-4efa-b15b-70b08120be54", | ||
101 | "name": "genomic selection", | 101 | "name": "genomic selection", | ||
102 | "state": "active", | 102 | "state": "active", | ||
103 | "vocabulary_id": null | 103 | "vocabulary_id": null | ||
104 | }, | 104 | }, | ||
105 | { | 105 | { | ||
106 | "display_name": "mixed models", | 106 | "display_name": "mixed models", | ||
107 | "id": "c6576b4d-f390-461d-ad57-b80dbe85ca64", | 107 | "id": "c6576b4d-f390-461d-ad57-b80dbe85ca64", | ||
108 | "name": "mixed models", | 108 | "name": "mixed models", | ||
109 | "state": "active", | 109 | "state": "active", | ||
110 | "vocabulary_id": null | 110 | "vocabulary_id": null | ||
111 | }, | 111 | }, | ||
112 | { | 112 | { | ||
113 | "display_name": "parent-of-origin effects", | 113 | "display_name": "parent-of-origin effects", | ||
114 | "id": "3ad75933-08bb-4ea2-9af2-4ee7ce7fea69", | 114 | "id": "3ad75933-08bb-4ea2-9af2-4ee7ce7fea69", | ||
115 | "name": "parent-of-origin effects", | 115 | "name": "parent-of-origin effects", | ||
116 | "state": "active", | 116 | "state": "active", | ||
117 | "vocabulary_id": null | 117 | "vocabulary_id": null | ||
118 | } | 118 | } | ||
119 | ], | 119 | ], | ||
120 | "title": "Generalized gametic relationships - a guide to practical | 120 | "title": "Generalized gametic relationships - a guide to practical | ||
121 | implementation", | 121 | implementation", | ||
122 | "type": "vdataset", | 122 | "type": "vdataset", | ||
123 | "url": "https://doi.org/10.22000/284" | 123 | "url": "https://doi.org/10.22000/284" | ||
124 | } | 124 | } |