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Exploratory Analysis of Born-Digital Newspaper Content
This paper reports on exploratory investigations by the Texas Digital Newspaper Program to understand aggregate patterns in the generation of born-digital news editions by analyzing technical metadata extracted from the 3 million pages currently in the preservation collection.
Date:
October 31, 2016
Creator:
Phillips, Mark Edward & Krahmer, Ana
System:
The UNT Digital Library
An Exploratory Study of the Description Field in the Digital Public Library of America
This paper presents results of an exploratory, quantitative analysis regarding the application of a free-text Description metadata element and data values associated with this element within aggregated metadata harvested from the Digital Public Library of America (DPLA).
Date:
October 14, 2016
Creator:
Tarver, Hannah; Zavalina, Oksana & Phillips, Mark Edward
System:
The UNT Digital Library
More comprehensive forensic genetic marker analyses for accurate human remains identification using massively parallel DNA sequencing
This paper uses massively parallel sequencing (MPS) to characterize 140-year-old human skeletal remains discovered at a historical site in Deadwood, South Dakota, United States.
Date:
October 17, 2016
Creator:
Ambers, Angie D.; Churchill, Jennifer D.; King, Jonathan L.; Stoljarova, Monika; Gill-King, Harrell; Assidi, Mourad et al.
System:
The UNT Digital Library
A novel statistical method for rare-variant association studies in general pedigrees
In this paper, the authors discuss a novel statistical method for rare-variant association studies in general pedigrees for quantitative traits. This method uses a retrospective view that treats the traits as fixed and the genotypes as random, which accounts for complex and undefined ascertainment of families.
Date:
October 18, 2016
Creator:
Zhu, Huanhuan; Wang, Zhenchuan; Wang, Xuexia & Sha, Qiuying
System:
The UNT Digital Library
Testing rare variants for hypertension using family-based tests with different weighting schemes
This paper proposes 4 weighting schemes for the family-based rare variants test (FBAT-v) to test for the effects of both rare and common variants across the genome.
Date:
October 18, 2016
Creator:
Wang, Xuexia; Zhao, Xingwang & Zhou, Jin
System:
The UNT Digital Library