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Results pagination - page 3 1 2 3 4 5 6 7 8 9 10 Braun One-stop shop for all things from your favourite brand Shop now Fresh Deals this Way Find what you’re looking for, for even less.User Agreement, Privacy, Cookies and AdChoice Norton Secured - powered by Verisign. Something went wrong. Sell on eBay Sell Food Processors User Agreement, Privacy, Cookies and AdChoice Norton Secured - powered by Verisign. Multipractic type4259 Food Processor pdf manual download. View and Download Braun Multipractic MC 100 use instructions online. Braun MC100: User Guide. Multipractic MC 100 Food Processor pdf manual download. C Braun eleotrio appliances meet applicable. cali for. (Recipes in the Braun Multipractic Plus. Multipractic User Manuals. View and Download Braun Multipractic UK 285 use instructions online. Multipractic UK 285 Food Processor pdf manual download. Braun MC 100 Food Processor User Manual. Page 1. Page 2. Page 3. Page 1. Open as PDF. of 3. Multipractic. MC 100. Type 4176. Multipractic 200. MC 200. Multipractic 200. MC 200 Type 4177 Read all instructions carefully before using this product.Federal form 4562 depreciation amortization, Dhs eagle ii contract, Dom of petition, Study consent form, How a routing statement works. Reload to refresh your session. Reload to refresh your session. We will get back to you in 24 hours. Thank you. Close Feedback Found a bug. Suggestions Copyright Need help. Business Development General inquiry Email address (optional): A message is required Message (required). You may have to register before you can post: click the register link above to proceed. To start viewing messages, select the forum that you want to visit from the selection below. User-Friendly Manuals. Product Instructions. You may have to register before you can post: click the register link above to proceed. To start viewing messages, select the forum that you want to visit from the selection below. User-Friendly Manuals. Product Instructions. MC 100 Type 4176. AUTOMOVILESMONTES.COM/userfiles/files/commercial-refrigeration-repair-manuals.pdf

Multipractic 200. MC 200 Type 4177 plus. Food processor. English. Use Instructions. Guarantee. Service Centers. Page 2: Processing in the working bowl English j Central shaftRead all instructions carefully before using this l Slicing insert. Please enter your email address and we will send you a password Rinse and dry. Place the motor unit on a flat, clean and dry surface. Plug in your appliance. If it still does not work, do not try to dismantle or repair the appliance yourself and take it to an approved repair centre. To avoid any danger, have it replaced by an approved repair centre. If the load becomes too high, it will stop automatically. Let your appliance rest for a few minutes before restarting it. If the problem persists, take it to an approved service centre. A Kitchen Machine is primarily for mixing dough and cake mixtures. A Food Processor can do these jobs but not with the efficiency of a kitchen machine. If you are planning on making cakes you should consider how much you will be doing this job. If it is going to be a common occurrence then a Kitchen Machine would be a better choice. It is worth taking note of the fact that a Food Processor is far smaller than a Kitchen Machine. Leave it at a local civic waste collection point. What should I do? Rinse and dry. Place the motor unit on a flat, clean and dry surface. Plug in your appliance. If it still does not work, do not try to dismantle or repair the appliance yourself and take it to an approved repair centre. To avoid any danger, have it replaced by an approved repair centre. If the load becomes too high, it will stop automatically. Let your appliance rest for a few minutes before restarting it. If the problem persists, take it to an approved service centre. A Kitchen Machine is primarily for mixing dough and cake mixtures. A Food Processor can do these jobs but not with the efficiency of a kitchen machine. If you are planning on making cakes you should consider how much you will be doing this job. {-Variable.fc_1_url-

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It was also observed that many genes containing these sequencing errors were annotated in the published closed genome as encoding proteins containing frameshift mutations (18 instances) or were annotated despite the coding frame containing stop codons, which if genuine, would severely hinder the organism’s ability to survive. Furthermore, we have completed a comprehensive manual curation to reduce errors in the annotation that occur through serial use of automated annotation pipelines in related species. As a result, different functions were assigned to gene products or previous functional annotations rejected because of missing evidence in various occasions. Conclusions We present a revised manually curated full genome sequence for Clostridium autoethanogenum DSM10061, which provides reliable information for genome-scale models that rely heavily on the accuracy of annotation, and represents an important step towards the manipulation and metabolic modelling of this industrially relevant acetogen. To date, the focus has been on the use of lignocellulosic biomass feedstocks. One alternative solution is to develop processes based on acetogenic bacteria such as Clostridium autoethanogenum, whereby carbon is directly captured (in the form of carbon monoxide or carbon dioxide) through anaerobic gas fermentation. Thus, gas fermentation allows the production of low carbon fuels and high-value chemicals without competing for food or land. It therefore represents an extremely versatile platform for the sustainable production of commodity chemicals and fuels. As a means of further understanding this organism, and for its effective exploitation for biofuel and biochemical production by means of metabolic engineering, a draft genome sequence of C. autoethanogenum DSM10061 was first elucidated using 454 GS FLX Titanium and Ion Torrent PMG techniques by Bruno-Barcena et al. automatismes-ses.com/ckfinder/userfiles/files/04-dodge-neon-sxt-manual.pdf

Improvements in both sequencing technologies and analysis tools have enabled a higher confidence in the generated genome sequence, and as such the coding sequence annotations also become more accurate and refined. Revisiting existing annotations also allows application of new biological knowledge to previously uncharacterised loci, and in the case of manual annotation, allows the opportunity to standardise features such as enzymes names and functional characterisation, for better integration with models. Our detailed inspection of the Brown et al.Were these frame-shifts genuine it would have the effect of severely debilitating the organism’s capacity to survive. To further understand these apparent frame-shifts, we sequenced a stock of C. autoethanogenum DSM10061, purchased directly from the DSMZ culture collection, using Illumina MiSeq technology and mapped these reads onto the Brown et al.Importantly, many of those genes exhibit important cellular functions including the C1 metabolism underlying gas fermentation. In the following sections, we focus on the identified differences, resulting in altered or newly introduced functional annotations and their consequences for the protein network in C. autoethanogenum, and on the underlying reasons for these discrepancies. We also highlight a possible shortcoming of the PacBio RS II sequencing technology, which has implications for future users wishing to employ this technology for gap closing when performing de-novo sequencing. We demonstrate the importance of employing a further sequencing technology following gap closure by PacBio RS II in order to generate a sequence with a high confidence level, and in doing so we have corrected 142 annotation errors in protein coding sequences brought about through apparent frameshift mutation due to under-called homopolymer regions. This represents an important step towards accurate manipulation of the industrially relevant organism, and which may be reliably used as a basis for the generation of metabolic and genomic models. Results Analysis of the C. autoethanogenum genome by Illumina sequencing reveals 243 discrepancies from the Brown et al.This generated over 3.5 million mapped short reads with an average length of 249.91 base pairs, resulting in an average coverage of 200.96 with a standard deviation of 25.67. To analyse the range of the coverage across the genome, we assessed coverage of specifically the coding regions present in the Brown et al.The results confirmed that 99.85 of CDS’s had coverage of at least 40 reads for 100 of the sequence, and 100 of CDS’s had coverage of at least 40 reads for at least 60 of the sequence. The whole-genome sequencing project for C. autoethanogenum JA1-1 has been deposited at National Center for Biotechnology Information (NCBI) under the accession number CP012395. We were able to map reads using the Brown et al.Interestingly, all but one of these discrepancies were identified as single base pair insertions, and these occurred with a seemingly random distribution across the genome, both in coding and non-coding regions (Fig. 2 ). Large INDELs were also screened for using the CLC genomics workbench, but none were detected. Fig. 1 Distribution of coverage of coding sequences across the genome. A visual representation of the depth of coverage of all coding sequences as generated by the Brown et al.Highlighted areas display the location of an insertion site as detected by our Illumina resequencing of the DSM10061 strain when compared to the Brown et al.The length of the homopolymer where each discrepancy was determined and data collated. The vast majority of discrepancies were found to occur when homopolymer length was between 4 and 8 Full size image Sanger sequencing from both forward and reverse reactions from all samples confirmed our Illumina MiSeq data (Additional file 2 ), indicating that the Illumina sequencing had made the correct calls for these single base discrepancies in our strain versus the Brown et al.Comparison of our sequence to that of published sequences revealed that a high percentage of our discrepancies agreed with the finished genome sequence of C. ljungdahlii and of genes located in the Bruno-Barcena draft genome sequence of C. autoethanogenum We found that of the 225 regions that are present in C. ljungdahlii all instances confirm our C. autoethanogenum finished genome sequence. Furthermore, we performed protein BLAST searches against the amino acid sequences of each discrepancy that occurred within a protein-coding region (142 in all). Of these, 127 coding regions are also present in C. ljungdahlii, and 59 are represented within the contigs of the Bruno-Barcena draft genome sequence. 125 coding sequences from C. ljungdahlii are identical to those found in our finished genome sequence, and the two that were not also did not agree with the Brown et al.Of the 59 coding-regions present within contigs of the Bruno-Barcena draft genome sequence, 55 agreed with our sequencing and the four that did not also did not agree with the Brown et al.In summary, through direct comparison with both the C. ljungdahlii finished genome sequence and the Bruno-Barcena draft genome sequence, we can be confident that our Illumina sequence has called the correct bases in these instances. A detailed review of the automated annotation of these proteins in the Brown et al.Moreover, the majority of these discrepancies (207 out of 243) occurred in homopolymer regions greater than five bases in length (Fig. 3 ) and the change present in each of these occurrences was the insertion of an additional monomer in our Illumina sequence, suggesting a tendency for calling strings of homopolymers short by PacBio technology at the time of publication of the Brown et al.Investigation of the origin reveals a previously undiscovered additional 181 base pair insertion One identified discrepancy occurred at the beginning of the genome sequence assembly, where we observed a 1 base pair (bp) deletion. The start point for the assembly of C. ljungdahlii is in a different location to that of C. autoethanogenum finished genome sequences. The additional bases were present in C. ljungdahlii upstream of the mopI gene, which is in the same location as C. autoethanogenum relative to their CDS. This automatic annotation resulted in 3747 perfect matches, 73 matches with a different length. One example of how our manual annotation differed from that of the automated pipeline used by Brown et al. Here the automated pipeline from the Brown et al. Upon further inspection in Pfam, one large ABC-2 family transporter protein domain was found (E-value 6.8e-31). Similar searches of UniProt and KEGG databases agreed with Pfam, therefore we annotated this gene product as an ABC-2 family transporter. The correction of the previously short-called homopolymer reads through our sequencing efforts gave a fully annotated finished sequence of C. autoethanogenum without the erroneous frame-shift containing annotations which had occurred previously. We have also encountered 131 instances where the annotation of a gene product in the Brown et al. The most common cause for the latter was previous identification of a gene product based on a minor region of coverage with homology to a distantly related species. Through comparison of the results of each protein sequence alignment to a broad selection of databases, we were able in some cases to correct and improve upon the automated annotation, highlighting the importance of manual curation where possible. This has supplied us with a robust and comprehensively annotated sequence for subsequent work with this industrially relevant acetogen (Table 2 ). The complete list of gene products with an altered function from those previously described in the Brown et al.Identification of coding sequences not previously detected in the Brown et al. As a consequence of the correction of multiple frameshift mutations, many coding sequences previously annotated as two separate genes due to an erroneous stop codon have now been rectified into a single coding region, and as such our annotated genome now contains 3969 coding sequences, whereas the Brown et al.Discussion The current greatest technical challenge for creating single closed whole genome sequences is the presence of long stretches of repetitive DNA within those sequences, which hinders the assembly of shorter DNA reads into larger scaffolds and finished whole genome sequences. Thus, the utilisation of PacBio systems for the generation of closed WGS’s from organisms that do not currently have such a sequence is highly advantageous in terms of both time and cost. However, it may still be the case that the PacBio system should ideally be used in conjunction with other forms of sequencing following PacBio assembly, such as Illumina MiSeq and Sanger sequencing, to ensure accuracy of the data, certainly for assemblies performed with earlier iterations of the PacBio technology, as is the case with the dataset in question here. Conclusions The whole genome sequence of C. autoethanogenum presented here-in represents a correction of the sequencing errors present in the previously published closed genome sequence generated primarily from an early iteration of PacBio sequencing technology. It was annotated via an automated pipeline and further curated manually to ensure the quality of annotation. Genomic DNA was quantified with a NanoDrop ND-1000 spectrophotometer (Labtech International) and the quality was determined via agarose gel electrophoresis. Whole genome sequencing was performed using an Illumina MiSeq instrument in the DeepSeq facility at the University of Nottingham. Sequencing data was mapped against the published C. autoethanogenum sequence available in the NCBI database (GenBank: CP006763) using the program CLC Genomics Workbench (CLC Bio; Qiagen). Genome sequencing data generation Genome sequencing was achieved at the DeepSeq next generation sequencing facility at the University of Nottingham. Samples were sequenced using an Illumina MiSeq desktop sequencer, a paired-end approach was taken with reads lengths of 250 base pairs. Sequencing data trimming, filtering and assembly Illumina mate-paired reads were trimmed of their adaptor sequences and filtered for quality using the program CLC Genomics Workbench (v. 7.0.4, CLC bio, Denmark), and subsequently assembled using DSM10061 as a reference sequence (Additional file 4 ). PCR and Sanger sequencing Sanger sequencing trace data is available upon request. All other data sets supporting the results of this article are included within the article (and its additional files). Paris: International Energy Agency (IEA) and Organisation for Economic Co-Operation and Development; 2008. Rome: Food and Agriculture Organization of the United Nations; 2008. Comput Struct Biotechnol J. 2012;3:e201210007. PubMed Production of biofuels from synthesis gas using microbial catalysts.Clostridium ljungdahlii represents a microbial production platform based on syngas.Fermentative production of ethanol from carbon monoxide.Influence of process parameters on growth of Clostridium ljungdahlii and Clostridium autoethanogenum on synthesis gas.