Julien Racle
Molecular Biology · 2015–2020
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 81 citations into it
Whom Julien Racle trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ben Langmead
- Bo Li
- Simon Anders
- Daehwan Kim
- Steven L. Salzberg
- Aaron M. Newman
- Etienne Becht
- J. Joyce
- Colin N. Dewey
- Michael Domrachev
Papers from Julien Racle's perspective
Ordered by how strongly the researchers Julien Racle trusts endorse each paper. Same corpus, a different order for every researcher.
- RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome (BMC Bioinformatics)
- Abstract PR09: The prognostic landscape of genes and infiltrating immune cells across human cancers
- HTSeq—a Python framework to work with high-throughput sequencing data (bioRxiv)
- Absolute quantification of somatic DNA alterations in human cancer (Nature Biotechnology)
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
- TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions (Genome Biology)
- Fast gapped-read alignment with Bowtie 2
- The hallmarks of cancer (RNA Biology)
- Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq (Science)
- Computational and analytical challenges in single-cell transcriptomics (Nature reviews genetics)
Their papers
- Simultaneous enumeration of cancer and immune cell types from bulk tumor gene expression data (2017) — 1,103 citations
- EPIC: A Tool to Estimate the Proportions of Different Cell Types from Bulk Gene Expression Data. (2020) — 425 citations
- The SIB Swiss Institute of Bioinformatics’ resources: focus on curated databases (2015) — 60 citations