Marcin Rapacz

Molecular Biology · 2007–2013

A researcher in the Science corpus: 2 papers; trusts 20 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Marcin Rapacz trusts overall

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

  1. Stephen A. Bustin
  2. M. W. Pfaffl
  3. K. Livak
  4. Claus L. Andersen
  5. A. Brunner
  6. Jo Vandesompele
  7. N. Nicot
  8. Tomasz Czechowski
  9. Sean C. Taylor
  10. L. Cattivelli

Who trusts Marcin Rapacz overall

  1. A. Stirbet
  2. Dušan Lazár
  3. J. Kromdijk
  4. Govindjee

Papers from Marcin Rapacz's perspective

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

  1. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes (Genome Biology)
  2. The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. (Clinical Chemistry)
  3. Absolute quantification of mRNA using real-time reverse transcription polymerase chain reaction assays. (Journal of Molecular Endocrinology)
  4. A new mathematical model for relative quantification in real-time RT-PCR. (Nucleic Acids Research)
  5. Control selection for RNA quantitation. (BioTechniques)
  6. Quantitative real-time RT-PCR--a perspective. (Journal of Molecular Endocrinology)
  7. Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer… (Cancer Research)
  8. Validating internal controls for quantitative plant gene expression studies (BMC Plant Biology)
  9. Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper – Excel-based tool using pair-wise correlations (Biotechnology Letters)
  10. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. (Methods)

Their papers