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| 001 | 179262 | ||
| 005 | 20240917150100.0 | ||
| 024 | 7 | _ | |a 10.1093/ilar/ilac003 |2 doi |
| 024 | 7 | _ | |a pmid:35325131 |2 pmid |
| 024 | 7 | _ | |a 0018-9960 |2 ISSN |
| 024 | 7 | _ | |a 1084-2020 |2 ISSN |
| 024 | 7 | _ | |a 1930-6180 |2 ISSN |
| 037 | _ | _ | |a DKFZ-2022-00544 |
| 041 | _ | _ | |a English |
| 082 | _ | _ | |a 630 |
| 100 | 1 | _ | |a Vergara, Patri |b 0 |
| 245 | _ | _ | |a ICLAS LAQ Network for the Promotion of Animal Quality in Research. |
| 260 | _ | _ | |a Oxford |c 2021 |b Oxford Univ. Press |
| 336 | 7 | _ | |a article |2 DRIVER |
| 336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
| 336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1726578040_15212 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a ARTICLE |2 BibTeX |
| 336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
| 336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
| 500 | _ | _ | |a 2021 Dec 31;62(3):337-342 |
| 520 | _ | _ | |a ICLAS Laboratory Animal Quality Network (LAQN) programs currently consist of the Performance Evaluation Program (PEP), which focuses on microbial monitoring by and for laboratory animal diagnostic laboratories, and the Genetic Reference Monitoring Program (GENRef), which provides assay-ready reference DNA for genetic testing of mouse strains. Since 2008, PEP has grown to become a truly international program with participating laboratories in 5 continents. Launched in 2016, GENRef currently distributes DNA from 12 common inbred mouse strains for use in genetic monitoring of locally inbred colonies as well as for genetic testing of stocks, particularly genetically engineered stocks, of uncertain origins. GENRef has the capacity to include additional strains as well as additional species. PEP and GENRef provide the reagents at cost, as a resource to the international scientific community, in the interest of improving research quality in an environment of growing concern for research quality, rigor, and reproducibility. |
| 536 | _ | _ | |a 316 - Infektionen, Entzündung und Krebs (POF4-316) |0 G:(DE-HGF)POF4-316 |c POF4-316 |f POF IV |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de |
| 650 | _ | 7 | |a animal models |2 Other |
| 650 | _ | 7 | |a diagnostic testing |2 Other |
| 650 | _ | 7 | |a genetic testing |2 Other |
| 650 | _ | 7 | |a mice |2 Other |
| 650 | _ | 7 | |a quality control |2 Other |
| 650 | _ | 7 | |a rats |2 Other |
| 650 | _ | 7 | |a reproducibility of results |2 Other |
| 650 | _ | 7 | |a virus |2 Other |
| 700 | 1 | _ | |a Ballard, Gregory |b 1 |
| 700 | 1 | _ | |a Besch-Williford, Cynthia |b 2 |
| 700 | 1 | _ | |a Hayashimoto, Nobuhito |b 3 |
| 700 | 1 | _ | |a Pekow, Cynthia |b 4 |
| 700 | 1 | _ | |a Perez, Ana |b 5 |
| 700 | 1 | _ | |a Schmidt, Katja |0 P:(DE-He78)4e5ebf211bad5a927f9a00c8e9c1d116 |b 6 |u dkfz |
| 700 | 1 | _ | |a Shek, William |b 7 |
| 700 | 1 | _ | |a Toft, Martin |b 8 |
| 700 | 1 | _ | |a Yoshiki, Atsushi |b 9 |
| 773 | _ | _ | |a 10.1093/ilar/ilac003 |g p. ilac003 |0 PERI:(DE-600)2192062-X |n 3 |p 337-342 |t ILAR journal |v 62 |y 2022 |x 0018-9960 |
| 909 | C | O | |p VDB |o oai:inrepo02.dkfz.de:179262 |
| 910 | 1 | _ | |a Deutsches Krebsforschungszentrum |0 I:(DE-588b)2036810-0 |k DKFZ |b 6 |6 P:(DE-He78)4e5ebf211bad5a927f9a00c8e9c1d116 |
| 913 | 1 | _ | |a DE-HGF |b Gesundheit |l Krebsforschung |1 G:(DE-HGF)POF4-310 |0 G:(DE-HGF)POF4-316 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-300 |4 G:(DE-HGF)POF |v Infektionen, Entzündung und Krebs |x 0 |
| 914 | 1 | _ | |y 2022 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0160 |2 StatID |b Essential Science Indicators |d 2021-02-04 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1190 |2 StatID |b Biological Abstracts |d 2021-02-04 |
| 915 | _ | _ | |a WoS |0 StatID:(DE-HGF)0113 |2 StatID |b Science Citation Index Expanded |d 2021-02-04 |
| 915 | _ | _ | |a Nationallizenz |0 StatID:(DE-HGF)0420 |2 StatID |d 2022-11-18 |w ger |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0300 |2 StatID |b Medline |d 2022-11-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0199 |2 StatID |b Clarivate Analytics Master Journal List |d 2022-11-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0150 |2 StatID |b Web of Science Core Collection |d 2022-11-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1050 |2 StatID |b BIOSIS Previews |d 2022-11-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1030 |2 StatID |b Current Contents - Life Sciences |d 2022-11-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1040 |2 StatID |b Zoological Record |d 2022-11-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)1060 |2 StatID |b Current Contents - Agriculture, Biology and Environmental Sciences |d 2022-11-18 |
| 915 | _ | _ | |a DBCoverage |0 StatID:(DE-HGF)0200 |2 StatID |b SCOPUS |d 2022-11-18 |
| 920 | 1 | _ | |0 I:(DE-He78)W440-20160331 |k W440 |l Gruppe Schmidt |x 0 |
| 980 | _ | _ | |a journal |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-He78)W440-20160331 |
| 980 | _ | _ | |a UNRESTRICTED |
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