Deepika Gopukumar

Molecular Biology · 2016

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 Deepika Gopukumar trusts overall

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

  1. Muthu Dayalan
  2. Michael L. Metzker
  3. Tom White
  4. Jay Shendure

Papers from Deepika Gopukumar's perspective

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

  1. MapReduce: simplified data processing on large clusters
  2. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. (Genome Research)
  3. High-quality draft assemblies of mammalian genomes from massively parallel sequence data (Proceedings of the National Academy of Sciences of the United States of America)
  4. Next-generation DNA sequencing (Nature Biotechnology)
  5. Sequencing technologies — the next generation (Nature reviews genetics)
  6. Genotype and SNP calling from next-generation sequencing data (Nature reviews genetics)
  7. Next-generation sequencing transforms today's biology (Nature Methods)
  8. Cloud-scale RNA-sequencing differential expression analysis with Myrna (Genome Biology)
  9. The Text Mining Handbook: Advanced Approaches in Analyzing Unstructured Data
  10. GAGE: A critical evaluation of genome assemblies and assembly algorithms. (Genome Research)

Their papers