I. Costa
Molecular Biology · with Zenke · 2016–2022
A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 72 citations into it
- Artificial Intelligence — 7 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Computational Theory and Mathematics — 5 citations into it
Whom I. Costa trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven L. Salzberg (in Molecular Biology)
- Ben Langmead (in Molecular Biology)
- Jesse Davis (in Artificial Intelligence)
- Mark H. Goadrich (in Artificial Intelligence)
Papers from I. Costa's perspective
Ordered by how strongly the researchers I. Costa trusts endorse each paper. Same corpus, a different order for every researcher.
- The Sequence Alignment/Map format and SAMtools (Bioinform.)
- Fast gapped-read alignment with Bowtie 2
- Transposition of native chromatin for multimodal regulatory analysis and personal epigenomics
- Single-cell chromatin accessibility reveals principles of regulatory variation (Nature)
- An Integrated Encyclopedia of DNA Elements in the Human Genome
- Genome-wide mapping of DNase hypersensitive sites using massively parallel signature sequencing (MPSS). (Genome Research)
- ChromHMM: automating chromatin state discovery and characterization (Nature Methods)
- Chromatin accessibility pre-determines glucocorticoid receptor binding patterns (Nature Genetics)
- Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
- An improved ATAC-seq protocol reduces background and enables interrogation of frozen tissues (Nature Methods)
Their papers
- Identification of transcription factor binding sites using ATAC-seq (2018) — 393 citations
- Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data (2022) — 469 citations
- Analysis of computational footprinting methods for DNase sequencing experiments (2016) — 141 citations