Daniel Ramsköld
Molecular Biology · 2009–2019
A researcher in the Science corpus: 4 papers; trusts 2 researchers and is trusted by 11 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 63 citations into it; #4,312 of 17,773 by trust here, #3,087 by citations
Whom Daniel Ramsköld trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Eric T. Wang
- Ben Langmead
- Ali Mortazavi
- John C. Marioni
- Alexander Stark
- Rickard Sandberg
- Cole Trapnell
- M. Guttman
- Melissa J. Moore
- J. Brennecke
Who trusts Daniel Ramsköld overall
- Chen Xu
- Oliver Stegle
- Sarah A. Teichmann
- Dominic Grün
- Rhonda L. Bacher
- Antoine-Emmanuel Saliba
- Valentine Svensson
- Rahul Satija
- Geng Chen
- Byungjin Hwang
Papers from Daniel Ramsköld's perspective
Ordered by how strongly the researchers Daniel Ramsköld 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)
- RNA-seq: an assessment of technical reproducibility and comparison with gene expression arrays. (Genome Research)
- RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
- Stem cell transcriptome profiling via massive-scale mRNA sequencing (Nature Methods)
- [Serial analysis of gene expression]. (Yi chuan = Hereditas)
- Genome-wide maps of chromatin state in pluripotent and lineage-committed cells (Nature)
- Alternative Isoform Regulation in Human Tissue Transcriptomes (Nature)
- Analysis and design of RNA sequencing experiments for identifying isoform regulation (Nature Methods)
- Chromatin signature reveals over a thousand highly conserved large non-coding RNAs in mammals (Nature)
- DAVID: Database for Annotation, Visualization, and Integrated Discovery (Genome Biology)
Their papers
- Single-Cell RNA-Seq Reveals Dynamic, Random Monoallelic Gene Expression in Mammalian Cells (2014) — 1,266 citations
- Full-Length mRNA-Seq from single cell levels of RNA and individual circulating tumor cells (2012) — 1,537 citations
- An Abundance of Ubiquitously Expressed Genes Revealed by Tissue Transcriptome Sequence Data (2009) — 883 citations
- Single-cell RNA counting at allele and isoform resolution using Smart-seq3 (2019) — 592 citations