On the public citation graph

MG7: Configurable and scalable 16S metagenomics data analysis

0 signed · 30 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/b978-0-12-407863-5.00021-6openalex-snapshot
Microbial Community Analysis Using MEGAN
inferredcites →https://doi.org/10.1016/j.csbj.2015.06.001openalex-snapshot
Combining metagenomics, metatranscriptomics and viromics to explore novel microbial interactions: towards a systems-level understanding of human microbiome
inferredcites →https://doi.org/10.1016/j.margen.2015.07.001openalex-snapshot
Marine metagenomics as a source for bioprospecting
inferredcites →https://doi.org/10.1016/j.mib.2015.04.004openalex-snapshot
Metagenomics meets time series analysis: unraveling microbial community dynamics
inferredcites →https://doi.org/10.1016/j.mib.2015.05.005openalex-snapshot
Metagenomics of extreme environments
inferredcites →https://doi.org/10.1038/msb.2013.22openalex-snapshot
Computational meta'omics for microbial community studies
inferredcites →https://doi.org/10.1038/nature.2015.17912openalex-snapshot
Genome researchers raise alarm over big data
inferredcites →https://doi.org/10.1073/pnas.1423854112openalex-snapshot
Identifying personal microbiomes using metagenomic codes
inferredcites →https://doi.org/10.1093/bioinformatics/btr507openalex-snapshot
FLASH: fast length adjustment of short reads to improve genome assemblies
inferredcites →https://doi.org/10.1093/nar/gkp1077openalex-snapshot
The 2010 Nucleic Acids Research Database Issue and online Database Collection: a community of data resources
inferredcites →https://doi.org/10.1093/nar/gkt1244openalex-snapshot
Ribosomal Database Project: data and tools for high throughput rRNA analysis
inferredcites →https://doi.org/10.1093/nar/gku1127openalex-snapshot
Type material in the NCBI Taxonomy Database
inferredcites →https://doi.org/10.1101/016758openalex-snapshot
Bio4j: a high-performance cloud-enabled graph-based data platform
inferredcites →https://doi.org/10.1101/021063openalex-snapshot
Biographika: rich interactive data visualizations on the web for the research community
inferredcites →https://doi.org/10.1126/science.aaa4972openalex-snapshot
Cancer and the microbiota
inferredcites →https://doi.org/10.1145/99583.99603openalex-snapshot
A record calculus based on symmetric concatenation
inferredcites →https://doi.org/10.1186/1471-2105-10-421openalex-snapshot
BLAST+: architecture and applications
inferredcites →https://doi.org/10.1371/journal.pbio.1002195openalex-snapshot
Big Data: Astronomical or Genomical?
inferredcites →https://doi.org/10.1371/journal.pcbi.1002808openalex-snapshot
Chapter 12: Human Microbiome Analysis
inferredcites →https://doi.org/10.15252/msb.20145645openalex-snapshot
Potential of fecal microbiota for early‐stage detection of colorectal cancer
inferredcites →https://doi.org/10.3389/fmicb.2015.00563openalex-snapshot
Discovery of new protein families and functions: new challenges in functional metagenomics for biotechnologies and microbial ecology
inferredcites →https://doi.org/10.3389/fmicb.2015.00672openalex-snapshot
Biotechnological applications of functional metagenomics in the food and pharmaceutical industries
inferredcites →https://doi.org/10.4137/bbi.s12462openalex-snapshot
Metagenomics: Tools and Insights for Analyzing Next-Generation Sequencing Data Derived from Biodiversity Studies
inferredcites →https://doi.org/10.5281/zenodo.35368openalex-snapshot
Nispero: A Cloud-Computing Based Scala Tool Specially Suited For Bioinformatics Data Processing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/s13105-019-00673-9openalex-snapshot
Characterization of gut microbiota composition in HIV-infected patients with metabolic syndrome
inferred← citeshttps://doi.org/10.1016/j.nrl.2018.04.006openalex-snapshot
Composición de la microbiota intestinal en pacientes con esclerosis múltiple. Influencia del tratamiento con interferón β-1b
inferred← citeshttps://doi.org/10.1016/j.nrleng.2020.05.006openalex-snapshot
The influence of interferon β-1b on gut microbiota composition in patients with multiple sclerosis
inferred← citeshttps://doi.org/10.1038/s41598-017-06714-xopenalex-snapshot
Bottom-up effects on herbivore-induced plant defences: a case study based on compositional patterns of rhizosphere microbial communities
inferred← citeshttps://doi.org/10.1101/039107openalex-snapshot
Bacterial sequences detected in 99 out of 99 serum samples from Ebola patients
inferred← citeshttps://doi.org/10.3389/fmars.2020.584253openalex-snapshot
Evaluation of DNA Extraction Methods and Bioinformatic Pipelines for Marine Nano- and Pico-Eukaryotic Plankton Analysis
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.