Seong-In Na

Molecular Biology · 2017–2024

A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seong-In Na trusts overall

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

  1. Sean R. Eddy
  2. Alexandros Stamatakis
  3. Kazutaka Katoh
  4. Morgan N. Price
  5. Seok-Hwan Yoon
  6. Daniel H. Haft
  7. Aaron E. Darling
  8. Jongsik Chun
  9. Robert D. Finn
  10. Daron M. Standley

Papers from Seong-In Na's perspective

Ordered by how strongly the researchers Seong-In Na trusts endorse each paper. Same corpus, a different order for every researcher.

  1. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
  2. MUSCLE: multiple sequence alignment with high accuracy and high throughput.
  3. A phylogeny-driven genomic encyclopaedia of Bacteria and Archaea (Nature)
  4. FastTree 2 – Approximately Maximum-Likelihood Trees for Large Alignments (PLoS ONE)
  5. Accelerated Profile HMM Searches
  6. Insights into the phylogeny and coding potential of microbial dark matter
  7. The Pfam protein families database: towards a more sustainable future
  8. RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies
  9. Trace: Tennessee Research and Creative Exchange Prodigal: Prokaryotic Gene Recognition and Translation Initiation Site Identification Recommended Citation Prodigal: Prokaryotic Gene Recognition and…
  10. Improving the coverage of the cyanobacterial phylum using diversity-driven genome sequencing (Proceedings of the National Academy of Sciences of the United States of America)

Their papers