Jason D. Buenrostro
Molecular Biology · 2013–2021
A researcher in the Science corpus: 11 papers; trusts 11 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 219 citations into it; #3,234 of 17,773 by trust here, #1,563 by citations
- Cancer Research — 35 citations into it; #1,427 of 1,780 by trust here, #629 by citations
- Artificial Intelligence — 9 citations into it
Whom Jason D. Buenrostro trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- ENCODEConsortium
- Beijing Wu
- Johannes Rinn
- Howard Y. Chang
- Leena Salmela
- Alicia N. Schep
- Martin Renqiang Min
- W.J. Greenleaf
- Laleh Haghverdi
- Marcel Martin
Who trusts Jason D. Buenrostro overall
- M. Corces
- Ryuji Hamamoto
- Manu N. Setty
- Daniel Quang
- Feng Yan
- Alicia N. Schep
- Beijing Wu
- Tim Stuart
- Cole Trapnell
- Christoph Hafemeister
Papers from Jason D. Buenrostro's perspective
Ordered by how strongly the researchers Jason D. Buenrostro trusts endorse each paper. Same corpus, a different order for every researcher.
- Massively parallel single cell RNA-Seq for marker-free decomposition of tissues into cell types (Science)
- Hematopoiesis: an evolving paradigm for stem cell biology. (Cell)
- Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors. (Cell)
- Transposition of native chromatin for multimodal regulatory analysis and personal epigenomics
- Forcing cells to change lineages (Nature)
- Induction of pluripotent stem cells from mouse embryonic and adult fibroblast cultures by defined factors.
- Accounting for technical noise in single-cell RNA-seq experiments (Nature Methods)
- Single-cell RNA-seq with Waterfall Reveals Molecular Cascades underlying Adult Neurogenesis (Cell Stem Cell)
- Diffusion pseudotime robustly reconstructs lineage branching
- Fundamental properties of unperturbed haematopoiesis from stem cells in vivo (Nature)
Their papers
- Single-cell chromatin accessibility reveals principles of regulatory variation (2015) — 2,079 citations
- Transposition of native chromatin for multimodal regulatory analysis and personal epigenomics (2013) — 5,662 citations
- Chromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin (2020) — 976 citations
- Lineage-specific and single cell chromatin accessibility charts human hematopoiesis and leukemia evolution (2016) — 1,038 citations
- ATAC-seq: A Method for Assaying Chromatin Accessibility Genome-Wide (2015) — 3,080 citations
- chromVAR: Inferring transcription factor-associated accessibility from single-cell epigenomic data (2017) — 1,401 citations
- Deep learning and alignment of spatially-resolved single cell transcriptomes with Tangram (2021) — 721 citations
- Assessment of computational methods for the analysis of single-cell ATAC-seq data (2019) — 305 citations
- Droplet-based combinatorial indexing for massive-scale single-cell chromatin accessibility (2019) — 392 citations
- Heritability enrichment of specifically expressed genes identifies disease-relevant tissues and cell types (2017) — 984 citations
- Integrated single-cell analysis maps the continuous regulatory landscape of human hematopoietic differentiation (2018) — 609 citations