Tom S. Smith

Molecular Biology · 2016–2017

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Tom S. Smith trusts overall

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

  1. Sean Whalen
  2. Allon M. Klein
  3. Rebecca M. Truty
  4. Stijn van Dongen

Who trusts Tom S. Smith overall

  1. Oscar Franzén
  2. Li-Ming Gan

Papers from Tom S. Smith's perspective

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

  1. Quantitative single-cell RNA-seq with unique molecular identifiers (Nature Methods)
  2. Droplet barcoding for single cell transcriptomics applied to embryonic stem cells (Cell)
  3. Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries (Genome Biology)
  4. Enhancer-promoter interactions are encoded by complex genomic signatures on looping chromatin (Nature Genetics)
  5. Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
  6. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
  7. Identification of genes periodically expressed in the human cell cycle and their expression in tumors. (Molecular Biology of the Cell)
  8. Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex (Nature Biotechnology)
  9. CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. (Cell Reports)
  10. Full-length RNA-seq from single cells using Smart-seq2 (Nature Protocols)

Their papers