Tomasz Czechowski

Molecular Biology · 2004–2008

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

Subfields

Whom Tomasz Czechowski trusts overall

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

  1. M. W. Pfaffl
  2. Jo Vandesompele
  3. Jan Ruijter
  4. A. Brunner
  5. Benjamin M. Bolstad
  6. Ales Tichopád
  7. Rafael A. Irizarry
  8. Stephen A. Bustin
  9. A. Moorman
  10. Rajendra Bari

Who trusts Tomasz Czechowski overall

  1. Michaela Hundertmark
  2. D. Hincha
  3. Bartłomiej Kozera
  4. Bikram Datt Pant
  5. W. Scheible
  6. Maria Greco
  7. Tobias Maier
  8. H. M. Iskandar
  9. Mark Stitt
  10. Marcin Rapacz

Papers from Tomasz Czechowski's perspective

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

  1. Quantification of mRNA using real-time reverse transcription PCR (RT-PCR): trends and problems. (Journal of Molecular Endocrinology)
  2. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes (Genome Biology)
  3. Control selection for RNA quantitation. (BioTechniques)
  4. Determination of stable housekeeping genes, differentially regulated target genes and sample integrity: BestKeeper – Excel-based tool using pair-wise correlations (Biotechnology Letters)
  5. 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)
  6. A comparison of normalization methods for high density oligonucleotide array data based on variance and bias (Bioinform.)
  7. Faculty Opinions recommendation of Genome-wide identification and testing of superior reference genes for transcript normalization in Arabidopsis.
  8. A new mathematical model for relative quantification in real-time RT-PCR. (Nucleic Acids Research)
  9. Arabidopsis transcription factors: genome-wide comparative analysis among eukaryotes. (Science)
  10. Validating internal controls for quantitative plant gene expression studies (BMC Plant Biology)

Their papers