Environmental Sociology and the Genomic Revolution

Using content analysis, this research examines the impact of the first 25 years of environmental sociology research on current introductory sociology textbooks. The investigators searched the texts for 40 key concepts in environmental sociology and for the inclusion of works by 20 award-winning environmental sociologists. On average, the texts cited 7 of the 40 key concepts. Eliminating multiple citations to a page, the total number of pages cited averaged just under three percent per book. On average, the texts cite four works by influential environmental sociologists. The texts, however, omitted some of the most central, unique concepts in the field. The texts typically treated environmental issues as social problems rather than as the by-products of institutionalized behaviors or practices. There tends to be a positive relationship between the sales of a text and the discussion of the environment.

Download Full-text

Preparing genomic revolution: Attitudes, clinical practice, and training needs in delivering genetic counseling in primary care in Hong Kong and Shenzhen, China

Molecular Genetics & Genomic Medicine ◽

10.1002/mgg3.1702 ◽

2021 ◽

Author(s):

Man Wai Cecilia Yu ◽

Jasmine Lee Fong Fung ◽

Amy Pui Pui Ng ◽

Zhuo Li ◽

Wang Lan ◽

...

Keyword(s):

Primary Care ◽

Hong Kong ◽

Genetic Counseling ◽

Clinical Practice ◽

Training Needs ◽

And Training ◽

Genomic Revolution

Download Full-text

Sensitive protein alignments at tree-of-life scale using DIAMOND

Nature Methods ◽

10.1038/s41592-021-01101-x ◽

2021 ◽

Vol 18 (4) ◽

pp. 366-368

Author(s):

Benjamin Buchfink ◽

Klaus Reuter ◽

Hajk-Georg Drost

Keyword(s):

Gold Standard ◽

New Age ◽

Tree Of Life ◽

Data Driven ◽

Comparative Analyses ◽

Life Scale ◽

Protein Alignments ◽

Genomic Revolution

AbstractWe are at the beginning of a genomic revolution in which all known species are planned to be sequenced. Accessing such data for comparative analyses is crucial in this new age of data-driven biology. Here, we introduce an improved version of DIAMOND that greatly exceeds previous search performances and harnesses supercomputing to perform tree-of-life scale protein alignments in hours, while matching the sensitivity of the gold standard BLASTP.

Download Full-text