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Advances in high-throughput sequencing and proteomics provide a wealth of data, diversity and completeness of which will hopefully allow us to answer all outstanding questions.
The main identified indicators have been grouped as follows (see Table 3): 1/and and size of the bioresource; 2/research productivity and sustainability (journals and papers, grants and patents, institutional funding); 3/sample/data value (follow up of data, diversity, rareness, quality control…); 4/bioresource management (workflow and efficiency); 5/networking and visibility of the bioresource.
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Particularly we must address the diversity of data types, diversity of data formats, dispersion of data across different sources, and size of data sets.
This collection of 372 accessions was gathered in order to represent a wide range of phenotypic and passport data diversity.
As an organization, Diversity VC is focused on Diversity & Inclusion in its broadest sense, and one of the big challenges that we set out to tackle was the lack of data on diversity in the VC industry.
At the same time that the mound of data backing diversity is becoming too big to ignore, some business leaders are stepping up and speaking out in favor of fairness.
Creating such a computing infrastructure to support operations deriving from various AEC projects can be challenging due to the complexity of workflows, distributed nature of the data and diversity of roles, profiles and location of the users.
Possible explanations for this difference are a lack of data, and ethnicity diversity.
The lack of data concerning intraspecific diversity of mt genomes among yeast lineages is apparent.
Storing of data, calculations of diversity and cluster analysis were performed by the PhenePlate™ software (PhPlate AB).
Since then, the TCGA initiative has greatly expanded the number of patients, the volume of data and the diversity of analytical platforms used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com