I. Mackay

Molecular Biology · Biochemical and Biophysical Research Communications - BBRC · 2002–2007

A researcher in the Science corpus: 4 papers; trusts 6 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom I. Mackay trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Stephen A. Bustin
  2. M. W. Pfaffl
  3. Andreas Nitsche
  4. D. Ginzinger
  5. Graham W. Horgan

Who trusts I. Mackay overall

  1. Stephen A. Bustin
  2. M. Valasek
  3. L. Schena
  4. Yasuyoshi Mori
  5. M. Parida
  6. B. Lievens
  7. J. Repa
  8. Franco Nigro
  9. Masataka Kitao
  10. Santhosh Sannarangaiah

Papers from I. Mackay's perspective

Ordered by how strongly the researchers I. Mackay trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Effect of experimental treatment on housekeeping gene expression: validation by real-time, quantitative RT-PCR. (Journal of Biochemical and Biophysical Methods)
  2. Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. (Journal of Molecular Endocrinology)
  3. Control selection for RNA quantitation. (BioTechniques)
  4. Gene quantification using real-time quantitative PCR: an emerging technology hits the mainstream. (Experimental Hematology)
  5. Multiplex PCR: Optimization and Application in Diagnostic Virology (Clinical Microbiology Reviews)
  6. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes (Genome Biology)
  7. Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems. (Journal of Molecular Endocrinology)
  8. Quantitative real-time reverse transcription polymerase chain reaction: normalization to rRNA or single housekeeping genes is inappropriate for human tissue biopsies. (Analytical Biochemistry)
  9. Relative expression software tool (REST©) for group-wise comparison and statistical analysis of relative expression results in real-time PCR
  10. A new mathematical model for relative quantification in real-time RT-PCR. (Nucleic Acids Research)

Their papers