scholarly journals The Personal Genome Project-UK: an open access resource of human multi-omics data

2019 ◽  
Author(s):  
Olga Chervova ◽  
Lucia Conde ◽  
José Afonso Guerra-Assunção ◽  
Ismail Moghul ◽  
Amy P. Webster ◽  
...  

AbstractIntegrative analysis of multi-omics data is a powerful approach for gaining functional insights into biological and medical processes. Conducting these multifaceted analyses on human samples is often complicated by the fact that the raw sequencing output is rarely available under open access. The Personal Genome Project UK (PGP-UK) is one of few resources that recruits its participants under open consent and makes the resulting multi-omics data freely and openly available. As part of this resource, we describe the PGP-UK multi-omics reference panel consisting of ten genomic, methylomic and transcriptomic data. Specifically, we outline the data processing, quality control and validation procedures which were implemented to ensure data integrity and exclude sample mix-ups. In addition, we provide a REST API to facilitate the download of the entire PGP-UK dataset. The data are also available from two cloud-based environments, providing platforms for free integrated analysis. In conclusion, the genotype-validated PGP-UK multi-omics human reference panel described here provides a valuable new open access resource for integrated analyses in support of personal and medical genomics.

2019 ◽  
Vol 6 (1) ◽  
Author(s):  
Olga Chervova ◽  
Lucia Conde ◽  
José Afonso Guerra-Assunção ◽  
Ismail Moghul ◽  
Amy P. Webster ◽  
...  

Abstract Integrative analysis of multi-omics data is a powerful approach for gaining functional insights into biological and medical processes. Conducting these multifaceted analyses on human samples is often complicated by the fact that the raw sequencing output is rarely available under open access. The Personal Genome Project UK (PGP-UK) is one of few resources that recruits its participants under open consent and makes the resulting multi-omics data freely and openly available. As part of this resource, we describe the PGP-UK multi-omics reference panel consisting of ten genomic, methylomic and transcriptomic data. Specifically, we outline the data processing, quality control and validation procedures which were implemented to ensure data integrity and exclude sample mix-ups. In addition, we provide a REST API to facilitate the download of the entire PGP-UK dataset. The data are also available from two cloud-based environments, providing platforms for free integrated analysis. In conclusion, the genotype-validated PGP-UK multi-omics human reference panel described here provides a valuable new open access resource for integrated analyses in support of personal and medical genomics.


2012 ◽  
Vol 26 (S1) ◽  
Author(s):  
Evan Kyzar ◽  
Ivan Zapolsky ◽  
Siddharth Gaikwad ◽  
Jeremy Green ◽  
Andrew Roth ◽  
...  

Zebrafish ◽  
2012 ◽  
Vol 9 (1) ◽  
pp. 8-14 ◽  
Author(s):  
Evan Kyzar ◽  
Ivan Zapolsky ◽  
Jeremy Green ◽  
Siddharth Gaikwad ◽  
Mimi Pham ◽  
...  

2020 ◽  
pp. 226-258
Author(s):  
Laura Vilkaitė-Lozdienė

This paper introduces the first version of the Lithuanian database of free association norms. This is an attempt to provide an open-access resource, which would be helpful for psycholinguists, linguists, computational linguists, and students. This version of the database includes 277 cue word forms. The responses were collected from 304 participants. In total 15,612 association pairs were recorded. The paper presents the procedure of collecting free associations and additional data available for researchers. It also provides a list of all cue words with their five most frequent associates and some summary statistics.


2016 ◽  
Vol 44 (2) ◽  
pp. 14
Author(s):  
Daureen Nesdill ◽  
Laura Sare ◽  
Alice Trussell ◽  
Marilyn Von Seggern

The year 2016 marks the tenth year the members of the Technical Report Archive and Image Library (TRAIL) have been providing open access to US federal technical reports (figure 1). Because TRAIL has created a substantive open access resource over the last ten years,it seems appropriate to look back and reflect on the work of TRAIL.


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