2011
DOI: 10.1142/s0219720011005781
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Jaguc — A Software Package for Environmental Diversity Analyses

Abstract: The new program package JAGUC is a tool that bridges the gap between computational and biological sciences. It enables biologists to process large sequence data sets in order to infer biological meaning from hundreds of thousands of raw sequence data. JAGUC offers advantages over available tools which are further discussed in this manuscript.

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Cited by 40 publications
(34 citation statements)
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“…PCR products were purified from 1% agarose gels by using the Zymoclean Gel DNA Recovery Kit (Zymo Research) and cloned into the pCR4-TOPO TA cloning vector using the TOPO TA Cloning Kit (Invitrogen) for Sanger sequencing (one 96-well plate per sample). Sequences were clustered into OTUs at 97% similarity in QIIME (35), and taxonomy of OTU representatives was assigned using JAguc (36). We present unweighted data because these clone libraries may under-sample diversity.…”
Section: Methodsmentioning
confidence: 99%
“…PCR products were purified from 1% agarose gels by using the Zymoclean Gel DNA Recovery Kit (Zymo Research) and cloned into the pCR4-TOPO TA cloning vector using the TOPO TA Cloning Kit (Invitrogen) for Sanger sequencing (one 96-well plate per sample). Sequences were clustered into OTUs at 97% similarity in QIIME (35), and taxonomy of OTU representatives was assigned using JAguc (36). We present unweighted data because these clone libraries may under-sample diversity.…”
Section: Methodsmentioning
confidence: 99%
“…In summary, pyrosequencing flowgrams that had at least one flow with signal intensity between 0.5 and 0.7 or a cycle of four nucleotide flows (TACG) that failed to give a signal 40.5 before cycle number 400 (both indicative of noise) were discarded, and all reads were truncated at cycle number 600. Pyrosequencing noise was subsequently removed using PyroNoise (Quince et al, 2011) using the default settings, and PCR noise was removed using SeqNoise (ss ¼ 0.033 and cs ¼ 0.08) (Quince et al, 2011) after truncation at 400 bp to reduce noise further.These data were then subjected to sorting, clustering and BLAST analysis with Jaguc (Version 2.1; Nebel et al, 2011). Only reads starting at the forward primer and being longer than 200 bp were further analyzed.…”
Section: Methodsmentioning
confidence: 99%
“…Genotypes of non-target genes were removed before further analysis. Sequences were affiliated to genotypes, that is, operational taxonomic units (OTUs), based on similarity cutoff values of 77%, 80% and 80% for mxaF, mch and fae, respectively, which were determined using the average neighboring method (Nebel et al, 2011). Barcode identifiers were used to determine the relative frequency of a genotype in amplicons from a certain soil after clustering.…”
Section: Methodsmentioning
confidence: 99%
“…narG and nosZ sequences shorter than 350 bp, and nirK as well as nirS sequences shorter than 300 bp were likewise excluded from further analyses. Amplicon sequences were sorted according to their barcodes and primers, and combined subsets of sequences for each structural gene (that is, containing sequences from both cryoturbated and unturbated peat soils) were clustered (that is, assigned to operational taxonomic units (OTUs)) at specieslevel threshold distances of 33% (narG (Palmer et al, 2009)), 17% (nirK (PS Depkat-Jakob, HL Drake, MA Horn, personal communication)), 18% (nirS (PS Depkat-Jakob, HL Drake, MA Horn, personal communication)) or 20% (nosZ (Palmer et al, 2009)) based on DNA sequences using the JAguc2 pipeline (http://wwwagak.informatik.uni-kl.de/research/JAguc/; Nebel et al, 2011;Supplementary Figure S1). In brief, JAguc2 generates a pairwise sequence alignment before calculation of a distance matrix and clustering with the average similarity method.…”
Section: Sequence Filtering and Analysismentioning
confidence: 99%