1998
DOI: 10.1080/08989575.1998.10815132
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Loren Eiseley and the Dancing Rat: Science as Autobiography

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Cited by 13 publications
(11 citation statements)
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References 27 publications
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“…To challenge RAT with real datasets, we selected relatively unexplored groundwater samples taken 12-64m below surface level from three different monitoring wells in a Dutch agricultural area, which we previously found had high microbial diversity and contain many novel taxa [38]. We performed a metagenomic analysis including quality control [44] assembly [25], and binning [27,28,45], which produced 514 MAGs. We supplied the reads, 2,770,251 contigs, and 423 medium- to high-quality MAGs (>50% completeness, <10% contamination [46]) to RAT to reconstruct taxonomic profiles of the groundwater samples, using nr as a reference database.…”
Section: Resultsmentioning
confidence: 99%
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“…To challenge RAT with real datasets, we selected relatively unexplored groundwater samples taken 12-64m below surface level from three different monitoring wells in a Dutch agricultural area, which we previously found had high microbial diversity and contain many novel taxa [38]. We performed a metagenomic analysis including quality control [44] assembly [25], and binning [27,28,45], which produced 514 MAGs. We supplied the reads, 2,770,251 contigs, and 423 medium- to high-quality MAGs (>50% completeness, <10% contamination [46]) to RAT to reconstruct taxonomic profiles of the groundwater samples, using nr as a reference database.…”
Section: Resultsmentioning
confidence: 99%
“…For quality-control, assembly, and binning, we used the ATLAS pipeline v2.4 [57]. ATLAS uses BBTools [44] to remove PCR duplicates and adapters and to trim the reads, assembles the reads using SPAdes v3.13.1 in metagenomic mode [25], and bins the contigs using MetaBAT2 v2.14 [27] and maxbin2 v2.2.7 [28], after which DASTool v.1.1.2 [45] is used to optimize MAGs resulting from the two binning approaches. We used MAGs of medium- to high-quality (>50% completeness, <10% contamination [46]) based on CheckM estimates in lineage-wf mode [43].…”
Section: Methodsmentioning
confidence: 99%
“…Triplicate “bottom” samples from sunrise and sunset were pooled and concentrated (RNA Clean and Concentrator-5, Zymo Research) into two singular samples before ribodepletion and library preparation due to low RNA extraction yields (<10 ng μL –1 ). Metatranscriptomic reads were filtered and trimmed with BBDuk (v38.67) and Sickle (v1.33) and then mapped to our MAG database at 99% identity using BBMap (v38.70) . Mapped read counts were processed in HTSeq (v0.12.4), filtered to retain transcripts with greater than 10 counts per million in at least three samples, and then normalized with trimmed mean of M-values using edgeR (v3.28.1) or a median-of-ratios factor when using DESeq2 (v1.26.0) for differential gene transcription analyses comparing sunrise vs sunset transcripts considering all metatranscriptomes ( n = 20) and also just the surficial ∼0 to 5 mm metatranscriptomes ( n = 6).…”
Section: Methodsmentioning
confidence: 99%
“…Among the seven EOC tissues, four were platinum-sensitive and three were platinum-resistant. All FASTQ reads were trimmed for quality control and adapters were trimmed using Bbduk (BBMap v36.59) ( 33 ) and FASTQC (v0.11.7) ( 34 ) for sequencing data. Read mapping was performed through the STAR-HTSeq workflow, i.e., STAR (v2.7.3a) ( 35 ) and HTSeq-count (v0.12.4) ( 36 ), where the reference genome (GRCh38) and annotation were aligned with the sequencing reads.…”
Section: Methodsmentioning
confidence: 99%