David Haselbach

Molecular Biology · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 13 citations into it
• Computational Biology & Bioinformatics — 9 citations into it

Whom David Haselbach trusts

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

1. Robert C. Edgar (in Molecular Biology)
2. Kai Zhang (in AI for Physical Sciences)

Papers from David Haselbach's perspective

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

1. MUSCLE: multiple sequence alignment with high accuracy and high throughput.
2. Gctf: Real-time CTF determination and correction
3. The HHpred interactive server for protein homology detection and structure prediction
4. Improved methods for building protein models in electron density maps and the location of errors in these models.
5. Visualizing density maps with UCSF Chimera. (Journal of Structural Biology)
6. CTFFIND4: Fast and accurate defocus estimation from electron micrographs
7. MotionCor2: anisotropic correction of beam-induced motion for improved cryo-electron microscopy
8. A general framework for estimating the relative pathogenicity of human genetic variants
9. The PRIDE database and related tools and resources in 2019: improving support for quantification data
10. Recent developments in the MAFFT multiple sequence alignment program

Their papers

• Moyamoya disease factor RNF213 is a giant E3 ligase with a dynein-like core and a distinct ubiquitin-transfer mechanism (2020) — 121 citations