pIRS: Profile-based Illumina pair-end reads simulator is a research paper published in Bioinformatics (2012). On theSindex it has a DataRank of 0.801. It has been cited 207 times.
Scored on demand from live citation data
Linked data & code
DataRank reads this dataset's downstream impact straight off the citation graph — no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full — never from an abstract alone.
Base Score Contribution
0.801
From this paper's citation signal
Citation Network Contribution
0
Citation network not refreshed for this result
This paper's DataRank is currently driven only by its base citation score. Citation network data was not refreshed for this result.
Learn more about DataRank methodology →FWCI
6.63
Citation Percentile
1.0%
Citation Trend
Fields of Study
MeSH Terms
Keywords
Sustainable Development Goals
Additional file 13 of MetaCNV - a consensus approach to infer accurate copy numbers from low coverage data
Additional file 13 of MetaCNV - a consensus approach to infer accurate copy numbers from low coverage data
Additional file 1 of ReSeq simulates realistic Illumina high-throughput sequencing data
Additional file 1 of ReSeq simulates realistic Illumina high-throughput sequencing data
Additional file 2 of ReSeq simulates realistic Illumina high-throughput sequencing data
Additional file 2 of ReSeq simulates realistic Illumina high-throughput sequencing data
Additional file 4 of ReSeq simulates realistic Illumina high-throughput sequencing data
Additional file 4 of ReSeq simulates realistic Illumina high-throughput sequencing data
Additional file 1 of ContigExtender: a new approach to improving de novo sequence assembly for viral metagenomics data
Additional file 1 of ContigExtender: a new approach to improving de novo sequence assembly for viral metagenomics data