Jan Grau

Molecular Biology · 2015–2019

A researcher in the Science corpus: 5 papers; trusts 19 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 51 citations into it; #9,713 of 17,773 by trust here, #13,891 by citations
• Plant Science — 11 citations into it
• Artificial Intelligence — 8 citations into it; #32,211 of 35,345 by trust here, #30,347 by citations
• Information Systems — 5 citations into it

Whom Jan Grau trusts overall

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

1. Jesse Davis
2. Mark H. Goadrich
3. Yoav Freund
4. Bo Li
5. Daniel E. Newburger
6. Martha L. Bulyk

Who trusts Jan Grau overall

1. Jens Keilwagen
2. Luz Garcia-Alonso
3. Heng Li
4. Stefan Posch
5. Mahmoud M. Ibrahim

Papers from Jan Grau's perspective

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

1. Genome-Wide Mapping of in Vivo Protein-DNA Interactions (Science)
2. Basic local alignment search tool.
3. BLAT--the BLAST-like alignment tool. (Genome Research)
4. Global mapping of protein-DNA interactions in vivo by digital genomic footprinting (Nature Methods)
5. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (Nature Protocols)
6. RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
7. UniPROBE: an online database of protein binding microarray data on protein–DNA interactions (Nucleic Acids Res.)
8. Assessment of transcript reconstruction methods for RNA-seq (Nature Methods)
9. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions (Genome Biology)
10. Additional file 6

Their papers

• Learning from mistakes: Accurate prediction of cell type-specific transcription factor binding (2017) — 8 citations
• GeMoMa: Homology-Based Gene Prediction Utilizing Intron Position Conservation and RNA-seq Data. (2019) — 407 citations
• Using intron position conservation for homology-based gene prediction (2016) — 654 citations
• Combining RNA-seq data and homology-based gene prediction for plants, animals and fungi (2017) — 306 citations
• PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R (2015) — 370 citations