Julian Catchen
Molecular Biology · 2011–2019
A researcher in the Science corpus: 7 papers; trusts 40 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 88 citations into it; #3,572 of 17,773 by trust here, #4,912 by citations
- Genetics — 84 citations into it; #1,156 of 6,854 by trust here, #1,121 by citations
- Plant Science — 29 citations into it; #4,960 of 8,232 by trust here, #5,217 by citations
- Artificial Intelligence — 10 citations into it
- Ecology — 6 citations into it; #7,850 of 10,717 by trust here, #10,333 by citations
- Education — 5 citations into it
Whom Julian Catchen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul A Hohenlohe
- Heng Li
- Daniel Falush
- J. Ross-Ibarra
- J. K. Pritchard
- Matthew Stephens
- François Rousset
- Ben Langmead
- Daniel R. Zerbino
- P. Meirmans
Who trusts Julian Catchen overall
- Deren A. R. Eaton
- Nicolas C. Rochette
- J. Paris
- M. Thomson
- A. Rivera-Colón
- Jamie Stevens
- Alicia Mastretta‐Yanes
- J. Davey
- Adam D. Leaché
- Paul A Hohenlohe
Papers from Julian Catchen's perspective
Ordered by how strongly the researchers Julian Catchen trusts endorse each paper. Same corpus, a different order for every researcher.
- The Sequence Alignment/Map format and SAMtools (Bioinform.)
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- Mapping and quantifying mammalian transcriptomes by RNA-Seq (Nature Methods)
- Velvet: algorithms for de novo short read assembly using de Bruijn graphs.
- Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
- Population Genomics of Parallel Adaptation in Threespine Stickleback using Sequenced RAD Tags (PLoS Genetics)
- The impact of next-generation sequencing technology on genetics. (Trends in Genetics)
- A framework for variation discovery and genotyping using next-generation DNA sequencing data
- Inference of population structure using multilocus genotype data: linked loci and correlated allele frequencies. (Genetics)
- Inference of population structure using multilocus genotype data. (Genetics)
Their papers
- Genome-wide genetic marker discovery and genotyping using next-generation sequencing (2011) — 2,384 citations
- Stacks: Building and Genotyping Loci De Novo From Short-Read Sequences (2011) — 1,963 citations
- Stacks: an analysis tool set for population genomics (2013) — 3,778 citations
- Deriving genotypes from RAD-seq short-read data using Stacks (2017) — 439 citations
- Lost in parameter space: a road map for stacks (2017) — 603 citations
- Stacks 2: Analytical Methods for Paired-end Sequencing Improve RADseq-based Population Genomics (2019) — 1,064 citations
- SNP DISCOVERY: NEXT GENERATION SEQUENCING Next-generation RAD sequencing identifies thousands of SNPs for assessing hybridization between rainbow and westslope cutthroat trout (2011) — 378 citations