ArticleNucleic acids research2015
GRASP: guided reference-based assembly of short peptides.
Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Sarand: exploring antimicrobial resistance gene neighbourhoods in complex metagenomic assembly graphs.NAR genomics and bioinformatics · 2026Article
- IntegratedNAR genomics and bioinformatics · 2023Article
- GRASP2: fast and memory-efficient gene-centric assembly and homolog search for metagenomic sequencing data.BMC bioinformatics · 2019Article
- MEBS, a software platform to evaluate large (meta)genomic collections according to their metabolic machinery: unraveling the sulfur cycle.GigaScience · 2017Article
- ROCker: accurate detection and quantification of target genes in short-read metagenomic data sets by modeling sliding-window bitscores.Nucleic acids research · 2017Article
- GRASPx: efficient homolog-search of short peptide metagenome database through simultaneous alignment and assembly.BMC bioinformatics · 2016Article
- Metagenome and Metatranscriptome Analyses Using Protein Family Profiles.PLoS computational biology · 2016Article
- Best practices for evaluating single nucleotide variant calling methods for microbial genomics.Frontiers in genetics · 2015Review
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Protein sequences predicted from metagenomic datasets are annotated by identifying their homologs via sequence comparisons with reference or curated proteins. However, a majority of metagenomic protein sequences are partial-length, arising as a result of identifying genes on sequencing reads or on assembled nucleotide contigs, which themselves are often very fragmented. The fragmented nature of metagenomic protein predictions adversely impacts homology detection and, therefore, the quality of the overall annotation of the dataset. Here we present a novel algorithm called GRASP that accurately identifies the homologs of a given reference protein sequence from a database consisting of partial-length metagenomic proteins. Our homology detection strategy is guided by the reference sequence, and involves the simultaneous search and assembly of overlapping database sequences. GRASP was compared to three commonly used protein sequence search programs (BLASTP, PSI-BLAST and FASTM). Our evaluations using several simulated and real datasets show that GRASP has a significantly higher sensitivity than these programs while maintaining a very high specificity. GRASP can be a very useful program for detecting and quantifying taxonomic and protein family abundances in metagenomic datasets. GRASP is implemented in GNU C++, and is freely available at http://sourceforge.net/projects/grasp-release.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.