Songling Li

Molecular Biology · 2019

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Songling Li trusts overall

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

  1. Daron M. Standley
  2. Kazutaka Katoh
  3. Ben M. Webb
  4. Weizhong Li
  5. Hiroyuki Toh
  6. Jimin Pei
  7. David de Juan
  8. Antonina Andreeva

Papers from Songling Li's perspective

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

  1. BLAST+: architecture and applications
  2. Expresso: automatic incorporation of structural information in multiple sequence alignments using 3D-Coffee (Nucleic Acids Res.)
  3. MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability
  4. Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model
  5. Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
  6. 3DCoffee: combining protein sequences and structures within multiple sequence alignments.
  7. Assessment of Contact Predictions in CASP12: Co-Evolution and Deep Learning Coming of Age
  8. SISYPHUS—structural alignments for proteins with non-trivial relationships
  9. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega
  10. Emerging methods in protein co-evolution

Their papers