E-LIB Suche - Ergebnisse für: Veljanoski, Filip

1

Expression profiles of the genes associated with zinc homeo..:

Barman, Shital K ; Zaman, Mohammad S ; Veljanoski, Filip...
Metallomics. 14 (2022) 8 - p. , 2022

Link: https://doi.org/10.1093/..

2

Unravelling the role of protein kinase CK2 in metal toxicit..:

Johnson, Adam J. ; Zaman, Mohammad S. ; Veljanoski, Filip...
Metallomics. 9 (2017) 3 - p. 301-308 , 2017

Link: https://doi.org/10.1039/..

3

Molecular insight into arsenic toxicity via the genome-wide..:

Johnson, Adam J. ; Veljanoski, Filip ; O'Doherty, Patrick J....
Metallomics. 8 (2016) 2 - p. 228-235 , 2016

Link: https://doi.org/10.1039/..

4

Revelation of molecular basis for chromium toxicity by phen..:

Johnson, Adam J. ; Veljanoski, Filip ; O'Doherty, Patrick. J....
Metallomics. 8 (2016) 5 - p. 542-550 , 2016

Link: https://doi.org/10.1039/..

5

Linking stomatal traits and expression of slow anion channe..:

Liu, Xiaohui ; Mak, Michelle ; Babla, Mohammad...
Frontiers in Plant Science. 5 (2014) - p. , 2014

Link: https://doi.org/10.3389/..

6

Linking stomatal traits and expression of slow anion channe..:

Liu, Xiaohui ; Mak, Michelle ; Babla, Mohammad...
Liu , X , Mak , M , Babla , M , Wang , F , Chen , G , Veljanoski , F , Wang , G , Shabala , S , Zhou , M & Chen , Z H 2014 , ' Linking stomatal traits and expression of slow anion channel genes HvSLAH1 and HvSLAC1 with grain yield for increasing salinity tolerance in barley ' , Frontiers in Plant Science , vol. 5 , no. NOV , 634 , pp. 1-12 . https://doi.org/10.3389/fpls.2014.00634. , 2014

Link: https://researchers.mq.e..

7

Linking stomatal traits and expression of slow anion channe..:

Liu, Xiaohui ; Mak, Michelle ; Babla, Mohammad...
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC. , 2014

Link: http://www.ncbi.nlm.nih...

8

Linking stomatal traits and expression of slow anion channe..:

Liu, Xiaohui (R17328) ; Mak, Michelle (S31982) ; Babla, Mohammad (S31981)...
Frontiers in Plant Science--1664-462X Vol. 5 Issue. 11 pp: 1-12. , 2014

Link: http://handle.uws.edu.au..

9

Machine learning driven prediction of cerebrospinal fluid r..:

CRANIAL Consortium ; Adrito Das ; Danyal Z. Khan...
https://www.frontiersin.org/articles/10.3389/fonc.2023.1046519/full. , 2023

Link: https://doi.org/10.3389/..