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The microcosm version of the Vick case surfaced on Long Island in mid-July when a 9-year-old child discovered a nearly dead 2-year-old pit bull named Spike — big doses of bleach and gasoline combined with a well-aimed lighted cigarette will do that to an otherwise robust creature — chained to a tree in Brentwood.
Open source miRNA target prediction programs, including TargetScan version 6.2 (http://www.targetscan.org), PicTar (pictar.mdc-berlin.de), MicroCosm version 5 (http://www.ebi.ac.uk/enright-srv/microcosm), miRanda (http://www.microrna.org), and Diana-microT version 3.0 (diana.cslab.ece.ntua.gr/microT), are mostly armed with unique algorithms that survey MRE sequences in the 3′UTR of target mRNAs.
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Predicted candidates mRNA targets for each differentially expressed miRNA were identified using two databases: MicroCosm Targets Version 5 (http://www.ebi.ac.uk/enright-srv/microcosm) and TargetScan Version 4.2 (http://www.targetscan.org).org
Briefly, a union of predicted targets for each of co-expressed miRNAs was generated using target prediction algorithm MicroCosm Targets Version 5[30].
TargetScan mouse 5.1 (http://www.targetscan.org/mmu_50/) and MicroCosm Targets Version 5 (http://www.ebi.ac.uk/enright-srv/microcosm/cgi-bin/targets/v5/search.pl) were used to predict the targets of miRs-1, 206, 133a and 133b.
To identify a miRNA that could efficiently target both DNA-PKcs and ATM, we combined the database (miRBase, microcosm Targets Version 5 and miRanda) search and the manual check for the matched sequences.
A search of potential miRNAs that may target RAD21 was performed on MicroCosm Targets, version 5 [ 28].
To address this question, we predicted the putative targets of miR-185 by combining several prediction tools available online including MicroCosm Targets version 5 (http://microrna.sanger.ac.uk/targets/v5/) and RNA22 miRNA target detection (http://cbcsrv.watson.ibm.com/rna22.html).ibm.com/rna22.html
The list of candidates mRNA targets for each miRNA was retrieved from the MicroCosm Targets database Version 5 (http://www.ebi.ac.uk/enright-srv/microcosm), formely known as mirBase::Targets [12], that uses the miRanda algorithm [123] to identify potential binding sites for a given miRNA in gene sequences.
We used miRGen software (Megraw et al. 2007) and MicroCosm Targets software (version 5; European Molecular Biology Laboratory, European Bioinformatics Institute 2010) to predict miRNA targets.
Furthermore, intra-microcosm variation was controlled by calculating a mean maximum yield for each microcosm.
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