Jacob T. Nearing

Molecular Biology · 2018–2022

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

Subfields

Whom Jacob T. Nearing trusts overall

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

  1. Cedric E. Ginestet
  2. Benjamin J. Callahan
  3. Jiajie Zhang
  4. J. Gregory Caporaso
  5. Paul J. McMurdie
  6. James R. Cole
  7. Kyle Bittinger
  8. Kassian Kobert
  9. Marcel Martin
  10. Sophie J. Weiss

Papers from Jacob T. Nearing's perspective

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

  1. SILVA: a comprehensive online resource for quality checked and aligned ribosomal RNA sequence data compatible with ARB (Nucleic Acids Research)
  2. PyNAST: a flexible tool for aligning sequences to a template alignment (Bioinform.)
  3. DADA2: High resolution sample inference from Illumina amplicon data (Nature Methods)
  4. Normalization and microbial differential abundance strategies depend upon data characteristics (Microbiome)
  5. Analyzing and minimizing PCR amplification bias in Illumina sequencing libraries (Genome Biology)
  6. Ribosomal Database Project: data and tools for high throughput rRNA analysis (Nucleic Acids Res.)
  7. ggplot2: Elegant Graphics for Data Analysis
  8. GNU Parallel: The Command-Line Power Tool
  9. PEAR: a fast and accurate Illumina Paired-End reAd mergeR
  10. Introducing mothur: Open-Source, Platform-Independent, Community-Supported Software for Describing and Comparing Microbial Communities (Applied and Environmental Microbiology)

Their papers