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The MRC Consortium for Medical Microbial Bioinformatics Fellowship 2

Lead Research Organisation: University of Warwick
Department Name: Sch of Engineering

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

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Title Additional file 10 of A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling 
Description Figure S10. Heatmap of arc heal species in the EM community. (ZIP 9 kb) 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/Additional_file_10_of_A_comprehensive_benchmark...
 
Title Additional file 2 of DESMAN: a new tool for de novo extraction of strains from metagenomes 
Description Separate text file containing variant prediction results in the complex mock. (TSV 4 kb) 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/Additional_file_2_of_DESMAN_a_new_tool_for_de_n...
 
Title Additional file 2 of STRONG: metagenomics strain resolution on assembly graphs 
Description Additional file 2 Genomes used in the synthetic communities (Additional file 1: Tables S1 and S2). 
Type Of Material Database/Collection of data 
Year Produced 2021 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/Additional_file_2_of_STRONG_metagenomics_strain...
 
Title Additional file 3 of A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling 
Description Figure S3. Error Transition Probabilities for all platforms. (ZIP 34 kb) 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/Additional_file_3_of_A_comprehensive_benchmarki...
 
Title Additional file 3 of DESMAN: a new tool for de novo extraction of strains from metagenomes 
Description Separate text file containing strains used in the complex mock. (TSV 12 kb) 
Type Of Material Database/Collection of data 
Year Produced 2017 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/Additional_file_3_of_DESMAN_a_new_tool_for_de_n...
 
Title Additional file 4 of A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling 
Description Figure S4. Impact of platform and region on entropy. (ZIP 16 kb) 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/Additional_file_4_of_A_comprehensive_benchmarki...
 
Title Additional file 9 of A comprehensive benchmarking study of protocols and sequencing platforms for 16S rRNA community profiling 
Description Figure S9. Impact of PCR cycles on OTUs. (ZIP 43 kb) 
Type Of Material Database/Collection of data 
Year Produced 2016 
Provided To Others? Yes  
URL https://springernature.figshare.com/articles/dataset/Additional_file_9_of_A_comprehensive_benchmarki...
 
Title CONCOCT: Clustering cONtigs with COverage and ComposiTion 
Description A program for unsupervised binning of metagenomic contigs by using nucleotide composition, coverage data in multiple samples and linkage data from paired end reads. 
Type Of Technology Software 
Year Produced 2014 
Open Source License? Yes  
Impact 55 citations and use in numerous studies. 
URL https://github.com/BinPro/CONCOCT
 
Title DESMAN De novo Extraction of Strains from MetAgeNomes 
Description We introduce DESMAN for De novo Extraction of Strains from MetAgeNomes. Metagenome sequencing generates short reads from throughout the genomes of a microbial community. Increasingly large, multi-sample metagenomes, stratified in space and time are being generated from communities with thousands of species. Repeats result in fragmentary co-assemblies with potentially millions of contigs. Contigs can be binned into metagenome assembled genomes (MAGs) but strain level variation will remain. DESMAN identifies variants on core genes, then uses co-occurrence across samples to link variants into strain sequences and abundance profiles. These strain profiles are then searched for on non-core genes to determine the accessory genes present in each strain. 
Type Of Technology Software 
Year Produced 2016 
Open Source License? Yes  
Impact Used to resolve E coli strains in pediatric Crohn's disease patients. 
URL https://github.com/chrisquince/DESMAN