Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sumaira E. Qureshi"'
Publikováno v:
PeerJ, Vol 2, p e576 (2014)
Background. A number of algorithms exist for analysing RNA-sequencing data to infer profiles of differential gene expression. Problems inherent in building algorithms around statistical models of over dispersed count data are formidable and frequentl
Externí odkaz:
https://doaj.org/article/c4763461d59247508e89fb9fd45b88ef
Publikováno v:
Agricultural Water Management. 96:1641-1651
We discuss the role and characteristics of water markets in Australia in facilitating efficient water allocation. Administrative, regulatory and/or political barriers to effective functioning of water markets are reviewed with a focus on the southern
Publikováno v:
Water Resources Management. 22:321-341
We developed an integrated biophysical and economic modeling framework to assess impact of various groundwater management options on seawater intrusion and waterlogging and ultimate impact on sugarcane profitability in a coastal region of North Queen
Publikováno v:
Australasian Journal of Water Resources. 11:207-220
Excessive irrigation has caused waterlogging in some parts of the Burdekin delta, while continued extraction of groundwater has reduced the hydraulic head of the aquifer and resulted in seawater intrusion. A groundwater management model was adapted t
Publikováno v:
Agricultural Economics. 36:113-122
Sugar mills produce a range of byproducts during the process of extracting sugar from cane. Mill mud is one of the byproducts produced in significant volume. The practice of spreading mill mud onto cane fields close by the mill has been the primary m
Publikováno v:
Economic Papers: A journal of applied economics and policy. 25:41-67
Increased use of irrigation water has imposed stresses on groundwater systems. Declining groundwater levels and spring discharges have heightened water users' concerns about the sustainability of regional economies. Recently there have been initiativ
Publikováno v:
PeerJ, Vol 2, p e576 (2014)
PeerJ
PeerJ
Background. A number of algorithms exist for analysing RNA-sequencing data to infer profiles of differential gene expression. Problems inherent in building algorithms around statistical models of over dispersed count data are formidable and frequentl
Autor:
Conrad J. Burden, Sumaira E. Qureshi, Sue Wilson, Jennifer M. Taylor, Stuart Stephen, José A Robles
Publikováno v:
BMC Genomics
BMC Genomics, Vol 13, Iss 1, p 484 (2012)
BMC Genomics, Vol 13, Iss 1, p 484 (2012)
Background RNA sequencing (RNA-Seq) has emerged as a powerful approach for the detection of differential gene expression with both high-throughput and high resolution capabilities possible depending upon the experimental design chosen. Multiplex expe