Proteogenomics for environmental microbiology is a research paper published in PROTEOMICS (2013). On theSindex it has a DataRank of 1.6. It has been cited 64 times, with 40 citing works in its 1-hop citation network.
Proteogenomics sensu stricto refers to the use of proteomic data to refine the annotation of genomes from model organisms. Because of the limitations of automatic annotation pipelines, a relatively high number of errors occur during the structural annotation of genes coding for proteins. Whether putative orphan sequences or short genes encoding low‐molecular‐weight proteins really exist is still frequently a mystery. Whether start codons are well defined is also an open debate. These problems are exacerbated for genomes of microorganisms belonging to poorly documented genera, as related sequences are not always available for homology‐guided annotation. The functional annotation of a significant proportion of genes is also another well‐known issue when annotating environmental microorganisms. High‐throughput shotgun proteomics has recently greatly evolved, allowing the exploration of the proteome from any microorganism at an unprecedented depth. The structural and functional annotation process may be usefully complemented with experimental data. Indeed, proteogenomic mapping has been successfully performed for a wide variety of organisms. Specific approaches devoted to systematically establishing the N‐termini of a large set of proteins are being developed. N‐terminomics is giving rise to datasets of experimentally proven translational start codons as well as validated peptide signals for secreted proteins. By extension, combining genomic and proteomic data is becoming routine in many research projects. The proteomic analysis of organisms with unfinished genome sequences, the so‐called composite proteomics, and the search for microbial biomarkers by bottom‐up and top‐down combined approaches are some examples of proteogenomic‐flavored studies. They illustrate the advent of a new era of environmental microbiology where proteomics and genomics are intimately integrated to answer key biological questions.
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Base Score Contribution
0.626
From this paper's citation signal
Citation Network Contribution
1.00
From 34 citing papers with measurable signal
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 39% comes from its base citations and 61% from the citation network (34 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
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