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## Introduction  Major advances in sequencing technology have produced an avalanche of biological data over the past 12 years. The bottleneck in discovery has consequently shifted from data generation to data analysis, and it raises the question suggesting  that only a small amount of total much  data is not  used to its full potential \cite{Lockhart_Winzeler_2000}. One Crowdsourcing is one  technique to gain more insight from existing biological data may be crowdsourcing. data.  Putting the diverse eyes and hands of the general public to the purpose ofmining, organizing or analyzing biological data has previously surfaced in  bioinformatics is not new  \cite{Good_Su_2013} \cite{ld_Allison_Bonneau_et_al__2012}. Examples of problems approached by crowdsourcing \cite{ld_Allison_Bonneau_et_al__2012}; examples  include protein \cite{lane2012milliseconds} and RNA folding, and both paid (Ingenuity® Systems, www.ingenuity.com) and unpaid \cite{hingamp2008metagenome} curation of literature. Rather than approach a problem strictly as professionals, we presented developed  an Open Source DIY workshop where scientists and the public could work worked  together to tackle an introductory a  synthetic biology project resulting in a publishable outcome. The problem to be solved would need data from completely open sources, sources and  not require difficult analysis and ideally examine one or more typical bioinformatics data sources. analysis.  Thus we decided todo a  survey of plant translation initiation motifs which could be embodied as motifs, aiming to create  an open source parts list for controlling translation in metabolic engineering and synthetic biology efforts. biology.  Plants offer many advantages as systems to do fine fine-tuned  biological engineering [e.g., modification to enhance production economically valuable terpinoid \cite{moses2013bioengineering}, modification of lignin biosynthesis to expediate biofuel synthesis \cite{li2008improvement}]. There is a paucity of published information, however, on how to control sets of genes working in concert. Use of small sequence motifs as ribosome binding site parts for synthetic biology has been proposed in bacteria [ \cite{Salis_Mirsky_Voigt_2009} see also: http://parts.igem.org/Ribosome_Binding_Sites/Prokaryotic/Constitutive/Anderson.] and similar parts have been produced for yeast [parts.igem.org]. The half dozen estimates of Estimates for  RBS parts in prokaryotic systems show that the translation level  of the a  gene can be reduced to 3% vs control, suggesting that RBS parts can be used to control gene expression shifted by greater than an order of magnitude, indicating their potential utility  ina  synthetic biology effort, so projects. Generating  an estimate of the regulatory  power of plant translation initiation motifs was conceived thus seen  as a useful goal for our  project.   Working meetings were posted through Counter Culture Labs and Berkeley Bio Labs (two groups (groups  with over 100 >100  members each) on meetup.com and met every week or two overthe course of  three months. In most  eukaryotic cells, such as plants, plant genes  the 5' cap of the mRNA transcript acts as the ribosome binding site. Another sequence within the mRNA, termed site and  the Kozak sequence, sequence  acts as the signal for translation initiation.Additionally, some genes are encoded within the chloroplast genome.  Due to the bacterial origins of the chloroplast,its  transcripts of genes encoded within the chloroplast genome  contain distinct consensus sequences in comparison to transcripts from the nuclear genome. Thus, instead nucleus. Instead  of the 5' cap, cap  there is a short motif called the Shine-Delgarno sequence where the ribosome binds and then initiates translation translation,  generally 8 nucleotides downstream, but the though this  distance in chloroplasts from the start codon to the Shine-Delgarno motif has been shown to vary. varies.  Although there has been some experimental work on ribosome binding sites and Kozak sequences in plants [refs, perhaps Lutcke et al EMBO J 1987], genomic genomic-scale  surveys have not been performed. Here we use publicly available, combined RNA- and protein expression data for both nuclear and chloroplast genes to estimate the power of the ribosome binding and translation initiation sequence motifs to initiate translation. These are initial results, but results;  experimental confirmation of the motifs will follow.