Brian Y. Lin

Molecular Biology · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Brian Y. Lin trusts overall

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

  1. Sean R. Eddy
  2. Dean Laslett
  3. Eric P. Nawrocki
  4. Björn Canbäck
  5. Stacia K. Wyman
  6. Einat Hazkani-Covo
  7. Todd M. Lowe
  8. Patricia P. Chan

Papers from Brian Y. Lin's perspective

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

  1. Rfam 13.0: shifting to a genome-centric resource for non-coding RNA families (Nucleic Acids Res.)
  2. ARAGORN, a program to detect tRNA genes and tmRNA genes in nucleotide sequences. (Nucleic Acids Research)
  3. Repbase Update, a database of repetitive elements in eukaryotic genomes (Mobile DNA)
  4. Infernal 1.1: 100-fold faster RNA homology searches
  5. GtRNAdb 2.0: an expanded database of transfer RNA genes identified in complete and draft genomes (Nucleic Acids Res.)
  6. BLAST+: architecture and applications
  7. The tRNAscan-SE, snoscan and snoGPS web servers for the detection of tRNAs and snoRNAs (Nucleic Acids Res.)
  8. ARWEN: a program to detect tRNA genes in metazoan mitochondrial nucleotide sequences (Bioinform.)
  9. Automatic annotation of organellar genomes with DOGMA (Bioinform.)
  10. A Probabilistic Model of Local Sequence Alignment That Simplifies Statistical Significance Estimation (PLoS Comput. Biol.)

Their papers