Social epigenomics: are we at an impasse?

Epigenomics ◽  
2021 ◽  
Author(s):  
Amy L Non
Keyword(s):  
Child Maltreatment ◽  
Data Integration ◽  
Social Factors ◽  
Complex Diseases ◽  
Cross Cultural ◽  
Data Types ◽  
Social Scientists ◽  
High Expectations ◽  
The Future ◽  
Collaborative Efforts

Aim: Social scientists have placed particularly high expectations on the study of epigenomics to explain how exposure to adverse social factors like poverty, child maltreatment and racism – particularly early in childhood – might contribute to complex diseases. However, progress has stalled, reflecting many of the same challenges faced in genomics, including overhype, lack of diversity in samples, limited replication and difficulty interpreting significance of findings. Materials & methods: This review focuses on the future of social epigenomics by discussing progress made, ongoing methodological and analytical challenges and suggestions for improvement. Results & conclusion: Recommendations include more diverse sample types, cross-cultural, longitudinal and multi-generational studies. True integration of social and epigenomic data will require increased access to both data types in publicly available databases, enhanced data integration frameworks, and more collaborative efforts between social scientists and geneticists.

The Future of Data Integration

2012 ◽  
pp. 453-457 ◽  
Author(s):  
AnHai Doan ◽  
Alon Halevy ◽  
Zachary Ives
Keyword(s):  
Data Integration ◽  
The Future

scholarly journals Lighthouses for biodiversity: prospects and challenges for zoological university museum in Indonesia

2020 ◽  
Vol 19 ◽  
pp. 00003
Author(s):  
Ganjar Cahyadi ◽  
Rahman Rasyidi ◽  
Dikdik Permadi
Keyword(s):  
Data Integration ◽  
Structured Interview ◽  
Easy Access ◽  
Collection Management ◽  
Great Opportunity ◽  
The Future ◽  
Study Case ◽  
University Museum ◽  
The University

University museums have been offering a great opportunity to study thematic collections. In zoology, it has been aiding the university biologist to keep safe extensive biodiversity collections from academic expeditions. When appropriately managed, this opens an opportunity for display, research, teaching, and outreach, especially for regions that may not have easy access to government-managed museums. However, Indonesian university museums have been positioned in a confusing situation in which university museums have limited opportunities to serve the main roles of museums. We use Museum Zoologi Sekolah Ilmu dan Teknologi Hayati, Institut Teknologi Bandung (MZSITH-ITB) as a study case. In this paper, we tried to explore the current roles of university museums being served and explore the prospects and challenges for university museums. Concurrent triangulation approach from desk evaluation, visitor analysis, and a semi-structured interview was conducted to see the current roles of MZSITH-ITB and prospects and challenges in the future. In conclusion, clear general procedures to standardize the collection management are urgently needed, so university museums can have a degree of independence to collect and study objects and collections. This can allow easier data integration and specimen sharing in which the museums can work together to shed some light on Indonesian biodiversity.

scholarly journals Topic Evolution Analysis for Omics Data Integration in Cancers

2021 ◽  
Vol 9 ◽  
Author(s):  
Li Ning ◽  
He Huixin
Keyword(s):  
Data Integration ◽  
Target Genes ◽  
Biomarker Discovery ◽  
Rapid Development ◽  
Future Trend ◽  
Human Condition ◽  
Omics Data ◽  
The Future ◽  
Cancer Diseases ◽  
Omics Data Integration

One of the vital challenges for cancer diseases is efficient biomarkers monitoring formation and development are limited. Omics data integration plays a crucial role in the mining of biomarkers in the human condition. As the link between omics study on biomarkers discovery and cancer diseases is deepened, defining the principal technologies applied in the field is a must not only for the current period but also for the future. We utilize topic modeling to extract topics (or themes) as a probabilistic distribution of latent topics from the dataset. To predict the future trend of related cases, we utilize the Prophet neural network to perform a prediction correction model for existing topics. A total of 2,318 pieces of literature (from 2006 to 2020) were retrieved from MEDLINE with the query on “omics” and “cancer.” Our study found 20 topics covering current research types. The topic extraction results indicate that, with the rapid development of omics data integration research, multi-omics analysis (Topic 11) and genomics of colorectal cancer (Topic 10) have more studies reported last 15 years. From the topic prediction view, research findings in multi-omics data processing and novel biomarker discovery for cancer prediction (Topic 2, 3, 10, 11) will be heavily focused in the future. From the topic visuallization and evolution trends, metabolomics of breast cancer (Topic 9), pharmacogenomics (Topic 15), genome-guided therapy regimens (Topic 16), and microRNAs target genes (Topic 17) could have more rapidly developed in the study of cancer treatment effect and recurrence prediction.

BIM Application and Practice with Rhino — A Case Study of Steel Construction in Datong Library

2012 ◽  
Vol 174-177 ◽  
pp. 2052-2056
Author(s):  
Hui Yong Li ◽  
Shu Bo Du ◽  
Zhi Hui Sha
Keyword(s):  
Data Integration ◽  
Life Cycles ◽  
Construction Process ◽  
Detailed Design ◽  
Steel Construction ◽  
Adoption And Implementation ◽  
The Future ◽  
Design And Construction

BIM is widely accepted in construction because of its concept of integration, and will be the mainstream in the future. BIM became more and more important in collaborating on all the working stages during building life-cycles due to its great advantage in data integration and processing. The connection between Rhino, a designing software, and BIM becomes necessary. This article introduced the adoption and implementation of Rhino in the Steel Detailed Design and Construction in Datong Library. The guidance and effectiveness of parameterized models generated by Rhino in smoothing the complicated steel construction process was also introduced.

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