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doi: 10.5281/zenodo.2008586 , 10.5281/zenodo.3381678 , 10.5281/zenodo.1219224 , 10.5281/zenodo.2603243 , 10.5281/zenodo.2590822 , 10.5281/zenodo.1937101 , 10.5281/zenodo.815613 , 10.5281/zenodo.2227526 , 10.5281/zenodo.2366497 , 10.5281/zenodo.2603219 , 10.5281/zenodo.594353 , 10.5281/zenodo.2649529 , 10.5281/zenodo.1184766 , 10.5281/zenodo.2008585
doi: 10.5281/zenodo.2008586 , 10.5281/zenodo.3381678 , 10.5281/zenodo.1219224 , 10.5281/zenodo.2603243 , 10.5281/zenodo.2590822 , 10.5281/zenodo.1937101 , 10.5281/zenodo.815613 , 10.5281/zenodo.2227526 , 10.5281/zenodo.2366497 , 10.5281/zenodo.2603219 , 10.5281/zenodo.594353 , 10.5281/zenodo.2649529 , 10.5281/zenodo.1184766 , 10.5281/zenodo.2008585
Prost! (PRocessing Of Small Transcripts) is a python application that quantifies and annotates microRNA (miRNA) expression in metazoans with assembled genomes. Prost! works by counting short transcripts within a user-specifiable length range. These counted transcripts are aligned to a user specifiable genome allowing for post-transcriptional modification (e.g. untemplated additions, editing, alternative cutting) and then "binned" together based on genomic location. Each bin is then annotated with databases of mature miRNAs, hairpins, and other types of RNAs (the databases may be derived from miRBase, Ensembl's BioMart, other databases, or may be custom built by the user).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 10 |

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