A. Bazzini

Molecular Biology · 2012–2016

A researcher in the Science corpus: 3 papers; trusts 2 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom A. Bazzini trusts overall

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

  1. Nicholas T. Ingolia
  2. Antonio J. Giráldez
  3. Jonathan S. Weissman
  4. W. Tadros
  5. Michael F. Lin
  6. Patricia P. Chan
  7. M. Guttman
  8. Mario dos Reis
  9. Miler T. Lee
  10. Grzegorz Kudla

Who trusts A. Bazzini overall

  1. Vikram Agarwal
  2. David P. Bartel
  3. Timothy G. Johnstone
  4. George W. Bell
  5. Hirotaka Iwakawa
  6. K. Rogers

Papers from A. Bazzini's perspective

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

  1. Many human large intergenic noncoding RNAs associate with chromatin-modifying complexes and affect gene expression (Proceedings of the National Academy of Sciences of the United States of America)
  2. The GENCODE v7 catalog of human long noncoding RNAs: Analysis of their gene structure, evolution, and expression (Genome Research)
  3. Integrative annotation of human large intergenic noncoding RNAs reveals global properties and specific subclasses. (Genes & Development)
  4. Ab initio reconstruction of transcriptomes of pluripotent and lineage committed cells reveals gene structures of thousands of lincRNAs (Nature Biotechnology)
  5. Ribosome Profiling of Mouse Embryonic Stem Cells Reveals the Complexity of Mammalian Proteomes (Cell)
  6. Conserved Function of lincRNAs in Vertebrate Embryonic Development Despite Rapid Sequence Evolution (Cell)
  7. Bioconductor: open software development for computational biology and bioinformatics (Genome Biology)
  8. Solving the riddle of codon usage preferences: a test for translational selection. (Nucleic Acids Research)
  9. Ribosome profiling provides evidence that large non-coding RNAs do not encode proteins (Cell)
  10. PhyloCSF: a comparative genomics method to distinguish protein coding and non-coding regions (Bioinform.)

Their papers