Katja Schwartz
Molecular Biology · 2011
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 20 citations into it; #7,243 of 17,773 by trust here, #11,207 by citations
Whom Katja Schwartz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Gordon K. Smyth
- Kasper D. Hansen
- Mark D. Robinson
- William S. Cleveland
- Rafael A. Irizarry
- Ben Langmead
- James H. Bullard
- Cole Trapnell
- Adam Roberts
Who trusts Katja Schwartz overall
- Sonia Tarazona
- Gabriel E. Hoffman
- María José Nueda
- Davide Risso
- Ana Conesa
- Michael I. Love
- Ciaran Evans
- Simon Anders
- Yunshun Chen
Papers from Katja Schwartz's perspective
Ordered by how strongly the researchers Katja Schwartz trusts endorse each paper. Same corpus, a different order for every researcher.
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
- Accurate Whole Human Genome Sequencing using Reversible Terminator Chemistry (Nature)
- Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (Statistical Applications in Genetics and Molecular Biology)
- The Transcriptional Landscape of the Yeast Genome Defined by RNA Sequencing (Science)
- Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
- RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
- edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
Their papers
- GC-Content Normalization for RNA-Seq Data (2011) — 801 citations