Kaat de Jonge

Molecular Biology · 2017

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

Whom Kaat de Jonge trusts overall

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

  1. Ben Langmead
  2. Bo Li
  3. Simon Anders

Papers from Kaat de Jonge's perspective

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

  1. HTSeq—a Python framework to work with high-throughput sequencing data (bioRxiv)
  2. The immune contexture in human tumours: impact on clinical outcome (Nature Reviews. Cancer)
  3. RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
  4. Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
  5. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions (Genome Biology)
  6. Abstract PR09: The prognostic landscape of genes and infiltrating immune cells across human cancers
  7. Fast gapped-read alignment with Bowtie 2
  8. Absolute quantification of somatic DNA alterations in human cancer (Nature Biotechnology)
  9. The hallmarks of cancer (RNA Biology)
  10. Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)

Their papers