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46. ARB: A Software Environment for Sequence Data

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The article was published on 2011-05-03 and is currently open access. It has received 1004 citations till now. The article focuses on the topics: Software.

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The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

TL;DR: The extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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Evaluation of general 16S ribosomal RNA gene PCR primers for classical and next-generation sequencing-based diversity studies

TL;DR: The results of this study may be used as a guideline for selecting primer pairs with the best overall coverage and phylum spectrum for specific applications, therefore reducing the bias in PCR-based microbial diversity studies.
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SINA: accurate high throughput multiple sequence alignment of ribosomal RNA genes

TL;DR: The SILVA Incremental Aligner (SINA) used to align the rRNA gene databases provided by the SILVA ribosomal RNA project was evaluated and was able to achieve higher accuracy than PyNAST and mothur in all performed benchmarks.
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Transitions in bacterial communities along the 2000 km salinity gradient of the Baltic Sea

TL;DR: This study reports a first detailed bacterial inventory from vertical profiles of 60 sampling stations distributed along the salinity gradient of the Baltic Sea, one of world's largest brackish water environments, generated using 454 pyrosequencing of partial (400 bp) 16S rRNA genes.
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SortMeRNA: Fast and accurate filtering of ribosomal RNAs in metatranscriptomic data.

TL;DR: SortMeRNA, a new software designed to rapidly filter rRNA fragments from metatranscriptomic data, is presented, capable of handling large sets of reads and sorting out all fragments matching to the rRNA database with high sensitivity and low running time.
References
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A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood.

TL;DR: This work has used extensive and realistic computer simulations to show that the topological accuracy of this new method is at least as high as that of the existing maximum-likelihood programs and much higher than the performance of distance-based and parsimony approaches.
Journal ArticleDOI

RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models

TL;DR: UNLABELLED RAxML-VI-HPC (randomized axelerated maximum likelihood for high performance computing) is a sequential and parallel program for inference of large phylogenies with maximum likelihood (ML) that has been used to compute ML trees on two of the largest alignments to date.
Journal ArticleDOI

Phylogenetic identification and in situ detection of individual microbial cells without cultivation.

TL;DR: Phylogenetic analysis of the retrieved rRNA sequence of an uncultured microorganism reveals its closest culturable relatives and may, together with information on the physicochemical conditions of its natural habitat, facilitate more directed cultivation attempts.
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