María José Nueda
Molecular Biology · 2008–2015
A researcher in the Science corpus: 3 papers; trusts 10 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 46 citations into it
- Cancer Research — 9 citations into it
Whom María José Nueda trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark D. Robinson
- Adam Roberts
- James H. Bullard
- Davide Risso
- Sonia Tarazona
- Alicia Oshlack
- Lior S. Pachter
- Cole Trapnell
- John A. Nelder
- Sandrine Dudoit
Who trusts María José Nueda overall
Papers from María José Nueda's perspective
Ordered by how strongly the researchers María José Nueda trusts endorse each paper. Same corpus, a different order for every researcher.
- Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
- RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
- A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
- RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- GC-Content Normalization for RNA-Seq Data (BMC Bioinformatics)
- A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control consortium (Nature Biotechnology)
- A comparison of methods for differential expression analysis of RNA-seq data (BMC Bioinformatics)
- Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (Nature Protocols)
- Generalized Linear Models
Their papers
- High-throughput functional annotation and data mining with the Blast2GO suite (2008) — 1,302 citations
- Next maSigPro: updating maSigPro bioconductor package for RNA-seq time series (2014) — 331 citations
- Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc package (2015) — 729 citations