Proteomics

Dataset Information

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Synergistic effect of short- and long-read sequencing on functional meta-omics


ABSTRACT: Evaluation of short-read-only, long-read-only, and hybrid assembly approaches on metagenomic samples demonstrating how they affect gene and protein prediction which is relevant for downstream functional analyses. For a human gut microbiome sample, we use complementary metatranscriptomic, and metaproteomic data to evaluate the metagenomic-based protein predictions.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Human Gut Metagenome

SUBMITTER: Benoit Kunath  

LAB HEAD: Paul Wilmes

PROVIDER: PXD025505 | Pride | 2022-02-17

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
180612_NJ_Luxenburg_1.mgf Mgf
180612_NJ_Luxenburg_1.raw Raw
checksum.txt Txt
fly.mzid.gz Mzid
fly_concatenated_target_decoy.fasta Fasta
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Publications

Functional meta-omics provide critical insights into long- and short-read assemblies.

Galata Valentina V   Busi Susheel Bhanu SB   Kunath Benoît Josef BJ   de Nies Laura L   Calusinska Magdalena M   Halder Rashi R   May Patrick P   Wilmes Paul P   Laczny Cédric Christian CC  

Briefings in bioinformatics 20211101 6


Real-world evaluations of metagenomic reconstructions are challenged by distinguishing reconstruction artifacts from genes and proteins present in situ. Here, we evaluate short-read-only, long-read-only and hybrid assembly approaches on four different metagenomic samples of varying complexity. We demonstrate how different assembly approaches affect gene and protein inference, which is particularly relevant for downstream functional analyses. For a human gut microbiome sample, we use complementar  ...[more]

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