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By Ben Keough

One of the best reasons to buy a “real” camera, instead of just shooting everything with your phone, is to get more zoom. And while your choices today are more limited than in years past, there are still plenty of superzoom models to choose from. These days, camera makers including Canon, Nikon, Sony, and Fujifilm all offer models with 50x or larger zoom ratios. After testing hundreds of cameras in our lab, our favorite is the Nikon Coolpix B700 ( Splendid Woman Ribbedknit Top Black Size M Splendid Clearance Pay With Visa HBHxaaT6XF
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But a big lens isn’t a guarantee of a good camera. Image quality, video capabilities, handling, features, and of course price are all important, too. So we’ve rounded up our favorites from among today’s crop, assessed their capabilities in all arenas, and put together this handy ranking to help you find the right superzoom for your needs.

— Our editors review and recommend products to help you buy the stuff you need. If you make a purchase by clicking one of our links, we may earn a small share of the revenue. Our picks and opinions are independent from any business incentives.

Updated April 16, 2018

Credit: Reviewed.com / Ben Keough

Where To Buy

Click for price Amazon Buy $449.99 Best Buy Buy $359.00 Walmart Buy

The brand-new Nikon Coolpix B700 packs an impressive range of features into a compact package. Most notable, of course, is a 60x zoom lens that’ll help you capture everything from landscapes, to portraits, to sports and wildlife. But what impressed us most about the B700 was its fit and finish, along with its snappy operation. This is a camera that feels like it's worth every bit of its $500 asking price.

Compared to some rivals, the B700 wows with extras like an articulating 3-inch LCD, 4K video capture at 30fps, RAW photo capture, and Bluetooth LE for easy file sharing. The electronic viewfinder (usually awful on these cameras) isn’t a total disappointment, and the ergonomic grip is comfortably textured for all-day use. All in all, it's a winner.

To evaluate the genetic relatedness between W1481 and the other Fusobacterium genomes the average nucleotide identity (ANI) ( Konstantinidis and Tiedje 2005 ) was calculated based on the method proposed by Goris et al. (2007) . Two-way BLAST was chosen and only forward and reversed-matched orthologs were used in the calculations. For the robustness, the BLAST match have been set at least 50% identity at the nucleotide and amino acid level and a sequence coverage of at least 70%.

The calculation of average amino acid identity (AAI) was performed by the method as described by Konstantinidis and Tiedje (2005) . The RAST annotated protein-coding sequences of the W1481 genome was used as the reference for comparison against other Fusobacterium genomes (also annotated using RAST), using the BLAST search to determine the conserved genes. The cut-off was set at ≥30% sequence identity and ≥70% sequence coverage at the amino acid level for the BLAST search. The average of the amino acid identity of all conserved genes between a pair of genomes was computed to measure the genetic relatedness between them.

All genomes sequences were submitted to IslandViewer ( Langille and Brinkman 2009 ) for genomic island (GI) prediction. IslandViewer implements a sequence composition based approaches derived from other validated GI prediction software packages, which were SIGI-HMM ( Waack et al. 2006 ) and IslandPath-DIMOB ( Hsiao et al. 2003 ). Both the composition based approach were shown to have a higher than 86% overall accuracy compared with other prediction software. IslandViewer also integrated IslandPick, which was developed based on comparative genomics approach ( Langille et al. 2008 ). To cluster these GIs for comparison across different F. nucleatum strains, the GI nucleotide sequences were clustered using BLASTClust ( Altschul et al. 1990 ) with the thresholds of at least 50% sequence identity and 50% sequence coverage.

Homology searches were performed on the protein sequences of 36 Fusobacterium strains against the Virulence Factors Database (VFDB) ( Chen et al. 2005 , 2012 ), by applying BLASTP of the BLAST software package ( Altschul et al. 1997 ). The BLAST hits were processed using in-house Python script filtering and accepting only orthologs at the threshold of at least 50% sequence identity and 50% sequence completeness between the query and subject sequences. Instead of using the tabular comparison for pathogenomic composition provided in VFDB release of 2012, the data collected from VFDB was used to construct a graphical heat map representation using our in-house R Scripts, allowing for the comparison of the virulence gene profiles across all Fusobacterium strains.

Functional ortholog clustering was performed using PGAP (Pan-genome Analysis Pipeline) ( Zhao et al. 2012 ). The protein sequences of 21 F. nucleatum strains were used as the input file. The orthologs among these 21 strains were searched using the Gene Family (GF) method included in the PGAP pipeline. Protein sequences of each strain were clustered together and denoted with strain identifiers. BLASTALL program ( Altschul et al. 1990 ) was performed among the protein sequences with the minimum score value of 50 and E-value at 1 e-8 . The filtered BLAST results were clustered by MCL algorithm ( Enright et al. 2002 ). In order to group the same genes into the same cluster, the global match region must have at least 70% of the longer gene protein sequence (coverage) and 40% sequence identity.

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