Cookies on this website
We use cookies to ensure that we give you the best experience on our website. If you click 'Continue' we'll assume that you are happy to receive all cookies and you won't see this message again. Click 'Find out more' for information on how to change your cookie settings.

Metagenomics: a path to understanding the gut microbiome.

Journal article

Yen S. and Johnson JS., (2021), Mamm Genome

Does temperature constrain diet choice in a marine herbivorous fish?

Journal article

Johnson JS. et al, (2020), MARINE BIOLOGY, 167

Evaluation of 16S rRNA gene sequencing for species and strain-level microbiome analysis

Journal article

Johnson JS. et al, (2019), Nature Communications, 10

New statistical method identifies cytokines that distinguish stool microbiomes

Journal article

Yang D. et al, (2019), Scientific Reports, 9

MSC: a metagenomic sequence classification algorithm

Journal article

Saha S. et al, (2019), Bioinformatics, 35, 2932 - 2940

CGAT-core: a python framework for building scalable, reproducible computational biology workflows

Journal article

Cribbs AP. et al, (2019), F1000Research, 8, 377 - 377

Longitudinal multi-omics of host–microbe dynamics in prediabetes

Journal article

Zhou W. et al, (2019), Nature, 569, 663 - 671

The nutritional basis of seasonal selective feeding by a marine herbivorous fish

Journal article

Johnson JS. et al, (2017), Marine Biology, 164

11β-hydroxysteroid dehydrogenase-1 deficiency alters the gut microbiome response to Western diet.

Journal article

Johnson JS. et al, (2017), J Endocrinol, 232, 273 - 283

Long noncoding RNAs in B-cell development and activation.

Journal article

Brazão TF. et al, (2016), Blood, 128, e10 - e19

CGAT: computational genomics analysis toolkit.

Journal article

Sims D. et al, (2014), Bioinformatics, 30, 1290 - 1291

Effect of ingestion on the stable isotope signatures of marine herbivorous fish diets

Journal article

Johnson JS. et al, (2012), JOURNAL OF EXPERIMENTAL MARINE BIOLOGY AND ECOLOGY, 438, 137 - 143

Demographic risk factors for classical and atypical scrapie in Great Britain.

Journal article

Green DM. et al, (2007), J Gen Virol, 88, 3486 - 3492