Philip Thomas Lanken Conradsen Clausen
Molecular Biology · 2018–2022
A researcher in the Science corpus: 4 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Molecular Biology — 62 citations into it; #16,868 of 17,773 by trust here, #16,150 by citations
- Molecular Medicine — 12 citations into it; #270 of 296 by trust here, #248 by citations
- Artificial Intelligence — 10 citations into it
Whom Philip Thomas Lanken Conradsen Clausen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Heng Li
- Weizhong Li
- R. Kaas
- Michael Inouye
- Rob Patro
- Nils Homer
- Adam Godzik
- Frank Moller Aarestrup
- Ben Langmead
- Harriet Dashnow
Who trusts Philip Thomas Lanken Conradsen Clausen overall
Papers from Philip Thomas Lanken Conradsen Clausen's perspective
Ordered by how strongly the researchers Philip Thomas Lanken Conradsen Clausen trusts endorse each paper. Same corpus, a different order for every researcher.
- Velvet: algorithms for de novo short read assembly using de Bruijn graphs.
- The Sequence Alignment/Map format and SAMtools (Bioinform.)
- BLAST+: architecture and applications
- Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference
- Fast gapped-read alignment with Bowtie 2
- The Comprehensive Antibiotic Resistance Database (Antimicrobial Agents and Chemotherapy)
- SRST2: Rapid genomic surveillance for public health and hospital microbiology labs (bioRxiv)
- Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences
- Minimap2: pairwise alignment for nucleotide sequences (Bioinform.)
- PointFinder: a novel web tool for WGS-based detection of antimicrobial resistance associated with chromosomal point mutations in bacterial pathogens (Journal of Antimicrobial Chemotherapy)
Their papers
- Rapid and precise alignment of raw reads against redundant databases with KMA (2018) — 763 citations
- ResFinder – an open online resource for identification of antimicrobial resistance genes in next-generation sequencing data and prediction of phenotypes from genotypes (2022) — 631 citations
- Critical Assessment of Metagenome Interpretation: the second round of challenges (2021) — 314 citations
- Global monitoring of antimicrobial resistance based on metagenomics analyses of urban sewage (2019) — 937 citations