Skip to main content

Methods, software and technology

Section edited by Nitin Baliga and Pedro Mendes

This section covers the development and refinement of novel computational, statistical and experimental methods for the analysis of biological systems.

Page 5 of 5

  1. Epistatic Miniarray Profiling(E-MAP) quantifies the net effect on growth rate of disrupting pairs of genes, often producing phenotypes that may be more (negative epistasis) or less (positive epistasis) severe ...

    Authors: Colm Ryan, Derek Greene, Aude Guénolé, Haico van Attikum, Nevan J Krogan, Pádraig Cunningham and Gerard Cagney
    Citation: BMC Systems Biology 2011 5:80
  2. The quantification of experimentally-induced alterations in biological pathways remains a major challenge in systems biology. One example of this is the quantitative characterization of alterations in defined,...

    Authors: Xiaolin Xiao, Neil Dawson, Lynsey MacIntyre, Brian J Morris, Judith A Pratt, David G Watson and Desmond J Higham
    Citation: BMC Systems Biology 2011 5:72
  3. Identifying the key transcription factors (TFs) controlling a biological process is the first step toward a better understanding of underpinning regulatory mechanisms. However, due to the involvement of a larg...

    Authors: Jeff Nie, Ron Stewart, Hang Zhang, James A Thomson, Fang Ruan, Xiaoqi Cui and Hairong Wei
    Citation: BMC Systems Biology 2011 5:53
  4. With the advent of high-throughput targeted metabolic profiling techniques, the question of how to interpret and analyze the resulting vast amount of data becomes more and more important. In this work we addre...

    Authors: Jan Krumsiek, Karsten Suhre, Thomas Illig, Jerzy Adamski and Fabian J Theis
    Citation: BMC Systems Biology 2011 5:21