Comparative Validation of Computer Programs for Haplotype Frequency Estimation from Donor Registry Data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F13%3A00206568" target="_blank" >RIV/68407700:21230/13:00206568 - isvavai.cz</a>
Výsledek na webu
<a href="http://onlinelibrary.wiley.com/doi/10.1111/tan.12160/pdf" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1111/tan.12160/pdf</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/tan.12160" target="_blank" >10.1111/tan.12160</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Comparative Validation of Computer Programs for Haplotype Frequency Estimation from Donor Registry Data
Popis výsledku v původním jazyce
Estimation of human leukocyte antigen (HLA) haplotype frequencies from unrelated stem cell donor registries presents a challenge because of large sample sizes and heterogeneity of HLA typing data. For the 14th International HLA and Immunogenetics Workshop, five bioinformatics groups initiated the `Registry Diversity Component? aiming to cross-validate and improve current haplotype estimation tools. Five datasets were derived from different donor registries and then used as input for five different computer programs for haplotype frequency estimation. Because of issues related to heterogeneity and complexity of HLA typing data identified in the initial phase, the same five implementations, and two new ones, were used on simulated datasets in a controlled experiment where the correct results were known a priori. These datasets contained various fractions of missing HLA-DR modeled after European haplotype frequencies. We measured the contribution of sampling fluctuation and estimation err
Název v anglickém jazyce
Comparative Validation of Computer Programs for Haplotype Frequency Estimation from Donor Registry Data
Popis výsledku anglicky
Estimation of human leukocyte antigen (HLA) haplotype frequencies from unrelated stem cell donor registries presents a challenge because of large sample sizes and heterogeneity of HLA typing data. For the 14th International HLA and Immunogenetics Workshop, five bioinformatics groups initiated the `Registry Diversity Component? aiming to cross-validate and improve current haplotype estimation tools. Five datasets were derived from different donor registries and then used as input for five different computer programs for haplotype frequency estimation. Because of issues related to heterogeneity and complexity of HLA typing data identified in the initial phase, the same five implementations, and two new ones, were used on simulated datasets in a controlled experiment where the correct results were known a priori. These datasets contained various fractions of missing HLA-DR modeled after European haplotype frequencies. We measured the contribution of sampling fluctuation and estimation err
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
JC - Počítačový hardware a software
OECD FORD obor
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Návaznosti výsledku
Projekt
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Návaznosti
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
Tissue Antigens - Immune Response Genetics
ISSN
0001-2815
e-ISSN
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Svazek periodika
82
Číslo periodika v rámci svazku
2
Stát vydavatele periodika
US - Spojené státy americké
Počet stran výsledku
13
Strana od-do
93-105
Kód UT WoS článku
000321697900002
EID výsledku v databázi Scopus
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