Browse by Authors and Editors
Number of items: 7. 2018Harper, Lynsey R. and Lawson Handley, Lori and Hahn, Christoph and Boonham, Neil and Rees, Helen C. and Gough, Kevin C. and Lewis, Erin and Adams, Ian P. and Brotherton, Peter and Phillips, Susanna and Hänfling, Bernd (2018) Needle in a haystack? A comparison of eDNA metabarcoding and targeted qPCR for detection of the great crested newt (Triturus cristatus). Ecology and Evolution . ISSN 2045-7758 (In Press) 2017Rees, Helen C. and Baker, Claire A. and Gardner, David S. and Maddison, Ben C. and Gough, Kevin C. (2017) The detection of great crested newts year round via environmental DNA analysis. BMC Research Notes, 10 (1). 327/1-327/4. ISSN 1756-0500 2015Gough, Kevin C. and Rees, Helen C. and Ives, Sarah E. and Maddison, Ben C. (2015) Methods for differentiating prion types in food-producing animals. Biology, 4 (4). pp. 785-813. ISSN 2079-7737 Rees, Helen C. and Gough, Kevin C. and Middleditch, David J. and Patmore, James R. and Maddison, Ben C. (2015) Applications and limitations of measuring environmental DNA as indicators of the presence of aquatic animals. Journal of Applied Ecology, 52 (4). pp. 827-831. ISSN 1365-2664 Spiliotopoulos, Anastasios and Owen, Jonathan P. and Maddison, Ben C. and Dreveny, Ingrid and Rees, Helen C. and Gough, Kevin C. (2015) Sensitive recovery of recombinant antibody clones after their in silico identification within NGS datasets. Journal of Immunological Methods, 420 . pp. 50-55. ISSN 0022-1759 2014Rees, Helen C. and Bishop, Keith and Middleditch, David J. and Patmore, James R.M. and Maddison, Ben C. and Gough, Kevin C. (2014) The application of eDNA for monitoring of the great crested newt in the UK. Ecology and Evolution, 4 (21). pp. 4023-4032. ISSN 2045-7758 Rees, Helen C. and Maddison, Ben C. and Middleditch, David J. and Patmore, James R. and Gough, Kevin C. (2014) The detection of aquatic animal species using environmental DNA – a review of eDNA as a survey tool in ecology. Journal of Applied Ecology, 51 . pp. 1450-1459. ISSN 0021-8901 |