Jens Keilwagen

Molecular Biology · 2015–2019

A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 5 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 104 citations into it; #9,715 of 17,773 by trust here, #13,891 by citations
• Plant Science — 33 citations into it
• Artificial Intelligence — 11 citations into it; #32,212 of 35,345 by trust here, #30,347 by citations
• Information Systems — 5 citations into it

Whom Jens Keilwagen trusts overall

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

1. W. James Kent
2. Stephen F. Altschul
3. Yoav Freund
4. Daehwan Kim
5. Mihaela Pertea
6. Bo Li
7. Daniel E. Newburger
8. Martha L. Bulyk
9. Jan Grau
10. Geo Pertea

Who trusts Jens Keilwagen overall

1. Heng Li
2. Tomás Bruna
3. L. Gabriel
4. Katharina Jasmin Hoff
5. Alexandre Lomsadze
6. Mark Borodovsky
7. F. Hartung

Papers from Jens Keilwagen's perspective

Ordered by how strongly the researchers Jens Keilwagen 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. Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks (Nature Protocols)
5. Global mapping of protein-DNA interactions in vivo by digital genomic footprinting (Nature Methods)
6. Assessment of transcript reconstruction methods for RNA-seq (Nature Methods)
7. RNA-Seq: a revolutionary tool for transcriptomics (Nature reviews genetics)
8. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
9. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions (Genome Biology)
10. Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)

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
• Shifting the limits in wheat research and breeding using a fully annotated reference genome (2018) — 2,732 citations
• PRROC: computing and visualizing precision-recall and receiver operating characteristic curves in R (2015) — 370 citations