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high performance data-mining k-mer based algorithm  (CosmosID Inc)

 
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    CosmosID Inc high performance data-mining k-mer based algorithm
    High Performance Data Mining K Mer Based Algorithm, supplied by CosmosID Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/high-performance+data-mining+k-mer+algorithm/high+performance+data+mining+k+mer+algorithm/pmc06026636-97-3-0
    Average 90 stars, based on 1 article reviews
    high performance data-mining k-mer based algorithm - by Bioz Stars, 2026-09
    90/100 stars

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    other:

    Article Title: Microbial diversity, genomics, and phage-host interactions of cyanobacterial harmful algal blooms.
    Article Snippet: Raw reads were uploaded for taxonomic annotation on the CosmosID-HUB using a patented and benchmarked kmer-based algorithm against the database GenBook (https://docs.cosmosid.com/docs/metagenomicclassification).

    Article Title: Stunting is associated with persistent and transferable alterations in the gut microbiome.
    Article Snippet: Bioinformatics Analysis via CosmosID-HUB Methods (www.cosmosid.com): The system utilizes a highperformance data-mining k-mer algorithm that rapidly disambiguates millions of short sequence reads into the discrete genomes engendering the particular sequences.

    Article Title: Bacillus velezensis compositions and methods of use thereof
    Article Snippet: CosmosID uses a high-performance k-mer based algorithm that disambiguates hundreds of millions of short reads of a sample into the microorganisms that the sequences represent.

    Article Title: Intestinal microflora dysbiosis and resistome in chronic inflammatory demyelinating polyradiculoneuropathy (CIDP)
    Article Snippet: CosmosID also performed bioinformatic 16S analysis using a high-performance data-mining k-mer algorithm.

    Article Title: Metagenomic assessment of the bacterial breastfeeding microbiome in mature milk across lactation
    Article Snippet: CosmosID (Rockville, MD) ( ) kmer based algorithms identify microorganisms based on entire genomes represented in their curated microbial genomics database, Genbook, with approximately 170,000 genomes and gene sequences.

    Article Title: Metagenomic detection of protozoan parasites on leafy greens aided by a rapid and efficient DNA extraction protocol
    Article Snippet: The CosmosID analysis relies on a k-mer algorithm screening of submitted reads against highly accurate and curated databases for bacteria, parasites, viruses and fungi.

    Article Title: d-Allulose and erythritol increase butyrate production and impact the gut microbiota in healthy adults and adults with type-2 diabetes ex vivo
    Article Snippet: Type-2 diabetes mellitus (T2DM) is associated with a reduction of butyrate-producing gut bacteria. d-allulose and erythritol are low-no-calorie sweeteners (LNCS) used as sugar substitutes to reduce high free sugar intakes associated with non-communicable diseases, including T2DM.. This is the first study to investigate the impact of representative and physiologically relevant doses of d-allulose and erythritol on the human gut microbiota of T2DM (n = 6) and co-living healthy adults (n = 6).. Using the clinically predictive ex vivo SIFR® technology, d-allulose and erythritol were shown to significantly increase butyrate production 24–48 h after treatment and significantly increased the abundance of particular microbial families or species in both healthy individuals and those with T2DM compared to the no-substrate control (NSC). d-Allulose significantly increased the abundance of Anaerostipes hadrus and Lachnospiraceae_unclassified_species (u_s) at 48 h in healthy adults and adults with T2DM compared to the NSC.

    Bacteria:

    Article Title: Metagenomic detection of protozoan parasites on leafy greens aided by a rapid and efficient DNA extraction protocol.
    Article Snippet: We chose CosmosID as our method of analysis because of our recent study wherein four bioinformatic approaches were compared for the identification of Salmonella from intentionally contaminated lettuce, and CosmosID was shown to produce superior results in identifying as few as one colony forming unit of Salmonella (Ogunremi et al., 2020). .. The CosmosID analysis relies on a kmer algorithm screening of submitted reads against highly accurate and curated databases for bacteria, parasites, viruses and fungi. .. The identification of contaminants is usually obtained within a few minutes, depending upon the workload on the CosmosID server.



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