From genomics to metagenomics.
By N. Desai, Dionysios A. Antonopoulos, Jack A. Gilbert, Elizabeth M. Glass, Folker Meyer. 2012
97 citations recorded by the source corpus.
Subfields: Ecology, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- Rob Knight
- Martin Steinegger
- Johannes Söding
- Jesse Stombaugh
- Daniel McDonald
- José Carlos Clemente
- Susan M. Huse
- Luke R. Thompson
In Molecular Biology
- Rob Knight
- Martin Steinegger
- Johannes Söding
- Daniel McDonald
- Jesse Stombaugh
- José Carlos Clemente
- Luke R. Thompson
- Susan M. Huse
Citations in the corpus
- Clustering huge protein sequence sets in linear time (2017, background): “Therefore, computing and storage costs are now dominating metagenomics [4, 5, 6].”
- MMseqs2: sensitive protein sequence searching for the analysis of massive data sets (2017, methodology): “In metagenomics, computational costs now dominate sequencing costs [5, 22, 27] and protein searches typically consume > 90% of computational resources [27], even though the gold 25”
- DNA Sequencing as a Tool to Monitor Marine Ecological Status (2017, background): “Despite the enormous opportunities posed by this technological revolution, the vast amount of data generated requires new solutions for data handling, storage, processing, documentation, visualization, and dissemination (Desai et al., 2012; Muir et al., 2016).”
- The Biological Observation Matrix (BIOM) format or: how I learned to stop worrying and love the ome-ome (2012, background): “; licensee BioMed Cen Creative Commons Attribution License (http:/ distribution, and reproduction in any medium “bioinformatics bottleneck”) [9,10].”
- Standard methods for molecular research in Apis mellifera (2013, methodology): “One helpful review of modern techniques is given by Desai et al. (2012) and there are numerous advances and tutorials available via the forums Seqanswers.com and the GALAXY wiki 34 Evans et al. (http://wiki.galaxyproject.org/FrontPage).”
- The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges (2018, background): “pensable for basic biological research and in numerous applied fields [47], such as comparative genomics (including metagenomics [308, 14, 79, 233, 327, 169], ribosomal RNA (rRNA) classification [212], infectious disease diagnostics [147]),”