M. Szcześniak

Molecular Biology · 2016

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 99 citations into it

Whom M. Szcześniak trusts

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

1. Cole Trapnell (in Molecular Biology)

Papers from M. Szcześniak's perspective

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

1. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
2. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
3. edgeR: a Bioconductor package for differential expression analysis of digital gene expression data (Bioinform.)
4. Evaluation of statistical methods for normalization and differential expression in mRNA-Seq experiments (BMC Bioinformatics)
5. A scaling normalization method for differential expression analysis of RNA-seq data (Genome Biology)
6. Understanding mechanisms underlying human gene expression variation with RNA sequencing (Nature)
7. baySeq: Empirical Bayesian methods for identifying differential expression in sequence count data (BMC Bioinformatics)
8. Moderated statistical tests for assessing differences in tag abundance (Bioinform.)
9. Detecting differential usage of exons from RNA-seq data (Genome Research)
10. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (Nature Protocols)

Their papers

• A survey of best practices for RNA-seq data analysis (2016) — 2,568 citations