Computational Pan-Genomics Consortium

Molecular Biology · 2016

A researcher in the Science corpus: 1 paper; trusts 29 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Molecular Biology — 41 citations into it
• Genetics — 21 citations into it
• Plant Science — 12 citations into it
• Cancer Research — 7 citations into it
• Computational Biology & Bioinformatics — 7 citations into it
• Ecology — 5 citations into it

Whom Computational Pan-Genomics Consortium trusts overall

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

1. James Y. Zou
2. Heng Li
3. Na Li
4. Can Alkan
5. Mihaela Pertea
6. Richard Durbin
7. Paul T. Shannon
8. Matthew Stephens
9. Nils Homer
10. Michael Olivier

Who trusts Computational Pan-Genomics Consortium overall

1. Max Schubach

Papers from Computational Pan-Genomics Consortium's perspective

Ordered by how strongly the researchers Computational Pan-Genomics Consortium trusts endorse each paper. Same corpus, a different order for every researcher.

1. Exome sequencing as a tool for Mendelian disease gene discovery
2. Mapping short DNA sequencing reads and calling variants using mapping quality scores. (Genome Research)
3. The human genome browser at UCSC.
4. Accurate Whole Human Genome Sequencing using Reversible Terminator Chemistry (Nature)
5. Resolving the complexity of the human genome using single-molecule sequencing (Nature)
6. dbSNP: the NCBI database of genetic variation
7. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
8. A global reference for human genetic variation
9. Genotype and SNP calling from next-generation sequencing data (Nature reviews genetics)
10. Modeling linkage disequilibrium and identifying recombination hotspots using single-nucleotide polymorphism data. (Genetics)

Their papers

• Computational pan-genomics: status, promises and challenges (2016) — 388 citations