G. Yardımcı
bioRxiv · 2017
A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Papers from G. Yardımcı's perspective
Ordered by how strongly the researchers G. Yardımcı trusts endorse each paper. Same corpus, a different order for every researcher.
- Capturing Chromosome Conformation (Science)
- Probabilistic modeling of Hi-C contact maps eliminates systematic biases to characterize global chromosomal architecture (Nature Genetics)
- Iterative Correction of Hi-C Data Reveals Hallmarks of Chromosome Organization (Nature Methods)
- Mapping long-range promoter contacts in human cells with high-resolution capture Hi-C (Nature Genetics)
- HiChIP: Efficient and sensitive analysis of protein-directed genome architecture (Nature Methods)
- Single cell Hi-C reveals cell-to-cell variability in chromosome structure (Nature)
- HiC-Pro: an optimized and flexible pipeline for Hi-C data processing (Genome Biology)
- Epigenomic Analysis of Multi-lineage Differentiation of Human Embryonic Stem Cells (Cell)
- A Compendium of Chromatin Contact Maps Reveal Spatially Active Regions in the Human Genome (Cell Reports)
- R: A language and environment for statistical computing.