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Clc bio main workbench

Manufactured by Qiagen
Sourced in Germany

The CLC Bio main workbench is a bioinformatics software platform that provides a comprehensive suite of tools for analyzing and visualizing biological data. It offers a user-friendly interface and a wide range of functionalities for tasks such as DNA/RNA sequence analysis, variant calling, and genome assembly.

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9 protocols using clc bio main workbench

1

Identifying Pathogenicity Factors in P. cinnamomi

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Reads from the three uninoculated samples and the three inoculated samples were mapped to the P. cinnamomi var cinnamomi draft genome downloaded from the Joint Genome Institute (Reeve, 2012, unpublished; JGI Project identity: 1003775). The genome assembly, based on Illumina, 454 and Sanger sequencing, is 77.97 Mbp and the sequence read coverage depth is 69.6x (Grigoriev et al., 2012 (link)). Mapping was performed as described above and assembly of reads and FPKM value were generated using Cufflinks. Any genes or transcripts showing an FPKM value above 100 in the control samples were considered conserved eukaryotic genes and removed from further analysis. Remaining genes or transcripts which showed FPKM values >100 in the three inoculated samples with a coefficient of variation < 0.2 were considered further. Approximately 280 genes satisfied this criteria and were subsequently analyzed using the pathogen host interactions (PHI) database (http://www.phi-base.org/ Winnenburg et al., 2006 (link)) to determine pathogenicity or virulence factors expressed in planta using a local BLASTP search in CLCBio main workbench (version 6.1; Qiagen). The database was downloaded in July 2014 and hits with the lowest e-value were considered. Selected genes were also subjected to Blast2GO® analysis to annotate the gene models.
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2

Multilocus Sequence Typing of Staphylococcus aureus

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Multilocus Sequence Typing was performed on 48 isolates, which were selected randomly based on the most common spa-types. Primers [29 (link)] amplifying seven reference genes were used. Amplification was done using the Amplitaq Gold DNA Polymerase kit (Applied Biosystems, CA, USA). Purified PCR products were sequenced (Inqaba Biotech, South Africa). Sequences were assembled using the CLC Bio main workbench (Qiagen, Germany) and analysed using the online database (https://pubmlst.org/saureus/).
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3

MRSA Genotyping via spa-typing

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Spa-typing was performed on 1467 MRSA isolates. The spa gene was amplified using previously published primers [12 (link)] and the Amplitaq Gold DNA Polymerase kit (Applied Biosystems, CA, USA). Purified PCR products (Qiagen Purification kit; Qiagen, Germany) were sequenced (Inqaba Biotech, South Africa). Sequences were assembled using CLC Bio main workbench (Qiagen, Germany) and analysed using the Ridom StaphType™ software, (Ridom GmbH, Würzburg, Germany).
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4

MRSA Isolate Spa-Typing and Sequence Analysis

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Spa-typing was performed on 569 MRSA isolates. The spa gene was amplified using previously published primers [14 (link)] and the Amplitaq Gold DNA Polymerase kit (Applied Biosystems, CA, USA). Purified PCR products (Qiagen Purification kit; Qiagen, Germany) were sequenced (Inqaba Biotech, South Africa). Sequences were assembled using CLC Bio main workbench (Qiagen, Germany) and analysed using the Ridom StaphType software (Ridom GmbH, Würzburg, Germany).
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5

Multilocus Sequence Typing of Staphylococcus aureus

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One isolate per common spa types per province were selected for MLST. Primers [15 (link)] amplifying seven reference genes were used. Amplification was done using the Amplitaq Gold DNA Polymerase kit (Applied Biosystems, CA, USA). Purified PCR products were sequenced (Inqaba Biotech, South Africa). Sequences were assembled using CLC Bio main workbench (Qiagen, Germany) and analysed using the online database (http://saureus.mlst.net/).
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6

Multi-Locus Sequence Typing of MRSA Isolates

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For our hospital-associated infection (n=513) group, four isolates belonging to each of the five most common spatypes (t037, t1257, t012, t045 and t064) were selected for MLST. For our community-associated infection (n=44) group, the following spa-types were observed: t037, t1257 t064 and t032. Two isolates belonging to the t037 and t1257 spa-types were selected for MLST; and one isolate each was observed and sequenced for the t064 and t032 spa-types. Since t032 was observed in the community-associated infection group, we also included two isolates belonging to this sequence type in our hospital-associated infection group. Primers amplifying 7 reference genes were used (13) . Amplification was performed using the Amplitaq Gold DNA Polymerase kit (Applied Biosystems, CA, USA). Purified PCR products were sequenced (Inqaba Biotech, South Africa). Sequences were assembled using CLC Bio main workbench (Qiagen, Germany) and analysed using the online database (https://pubmlst.org/).
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7

Spa Gene Amplification and Sequencing

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The spa gene was amplified using previously published primers (12) and the Amplitaq Gold DNA Polymerase kit (Applied Biosystems, CA, USA). Purified PCR products (Qiagen Purification kit; Qiagen, Germany) were sequenced (Inqaba Biotech, South Africa). Sequences were assembled using CLC Bio main workbench (Qiagen, Germany) and analysed using the Ridom StaphType TM software (Ridom GmbH, Würzburg, Germany).
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8

Cloning and Phylogenetic Analysis of RACE Sequences

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Cloning and sequence analysis. The RACE product bands were excised from the agarose gels and purified using the QIAquick Spin kit (Qiagen) according to the manufacturer's protocol. After purification, the RACE products were cloned into the pGEM T-Easy plasmid (Promega). Plasmids from positive colonies were analyzed by restriction; each clone was sequenced in both chains using universal primers and the Big Dye Terminator Ready Reaction kit (Perkin-Elmer) and analyzed in the ABI PRISM 3130xl Genetic Analyzer System (Applied Biosystems). Sequence information was analyzed using the CLC Bio Main Workbench (CLC Bio; Qiagen) as well as the BLAT (genome.ucsc.edu) and BLAST (blast.ncbi. nlm.nih.gov) algorithms.
In order to search for sequence similarity among clones, we performed a CLUSTAL alignment and checked it manually. Based on this alignment, we searched for the most adequate model of evolution using the FindModel server (http://www. hiv.lanl.gov/content/sequence/findmodel/findmodel.html), and the GTR model was selected to perform a maximum likelihood phylogenetic analysis employing a 1000-replicate bootstrap analysis. Finally, a tree was constructed using the neighborjoining method.
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9

Extracting Gene Attributes for Predictive Modeling

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Seventy six gene attributese.g. the count and frequency of each nucleotide, di-nucleotides, and molarities of salt contents (the concentration of monovalent cations in units of molar) were extracted using CLC bio main workbench (Qiagen). All features were classified as continuous variables, except the Nanog species which were classified as polynomial variable. A dataset of these genes features was imported into RapidMiner software [RapidMiner 5.0.001, Rapid-I GmbH, Stochumer Str. 475, 44227 Dortmund, Germany], null data for type variable was discarded, and this feature was set as the output (target) variable and the other variables were set as input variables.
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