Preprints (not yet peer-reviewed)

88 downloads
194 views

Normalization is the first critical step in microbiome sequencing data analysis used to account for variable library sizes. Current RNA-Seq based normalization methods that have been adapted for microbiome data fail to consider the unique characteristics of microbiome...

["Bioinformatics","Genomics","Statistics"]
doi:10.7287/peerj.preprints.3417v2
11,725 downloads
40,072 views

The website Sci-Hub provides access to scholarly literature via full text PDF downloads. The site enables users to access articles that would otherwise be paywalled. Since its creation in 2011, Sci-Hub has grown rapidly in popularity. However, until now, the extent...

["Bioinformatics","Legal Issues","Science and Medical Education","Statistics","Computational Science"]
doi:10.7287/peerj.preprints.3100v2
38 downloads
123 views

Celiac disease is a chronic condition, which can be described as inflammatory and autoimmune. The well-known treatment is a lifelong gluten-free diet, but it can be not totally effective for a high percentage of the patients. The aim of this work is to approach...

["Bioinformatics","Biotechnology","Computational Biology","Statistics","Computational Science"]
doi:10.7287/peerj.preprints.3315v1
275 downloads
694 views

RNA sequencing (RNA-Seq) is a powerful technique for thegene-expression profiling of organisms that uses the capabilities of next-generation sequencing technologies.Developing gene-expression-based classification algorithms is an emerging powerful method for diagnosis,...

["Bioinformatics","Genomics","Statistics","Computational Science"]
doi:10.7287/peerj.preprints.2761v2
128 downloads
255 views

Sigmoidal and double-sigmoidal dynamics are commonly observed in many areas of biology. Here we present sicegar, an R package for the automated fitting and classification of sigmoidal and double-sigmodial data. The package categorizes data into one of three categories,...

["Bioinformatics","Computational Biology","Mathematical Biology","Statistics","Data Science"]
doi:10.7287/peerj.preprints.3116v1
37 downloads
494 views

Pedigrees, though straightforward and versatile, lack the ability to tell us information about many individuals. Though numerical systems have been developed, there is currently no system to quantify the probability of a pedigree following certain inheritance systems....

["Bioinformatics","Genetics","Mathematical Biology","Statistics"]
doi:10.7287/peerj.preprints.2871v5
115 downloads
265 views

A measure of statistical evidence should permit the sample size determination so that the probability M of obtaining (strong) misleading evidence can be held as low as desired. On this desideratum the p-value fails completely, as it leads either to an arbitrary...

["Bioinformatics","Epidemiology","Statistics"]
doi:10.7287/peerj.preprints.2869v1
24 downloads
203 views

Basic idea of science is reproducibility of phenomena and experiments. Reproducibility of data analyses and reports is becoming more and more important. It requires structured organization of data, augmented with enought metadata for future re-use of data. Our...

["Bioinformatics","Genomics","Plant Science","Statistics","Computational Science"]
doi:10.7287/peerj.preprints.2791v1
130 downloads
287 views

Site-specific evolutionary rates can be estimated from codon sequences or from amino-acid sequences. For codon sequences, the most popular methods use some variation of the dN/dS ratio. For amino-acid sequences, one widely-used method is called Rate4Site, and it...

["Bioinformatics","Computational Biology","Evolutionary Studies","Statistics"]
doi:10.7287/peerj.preprints.2739v1
45 downloads
330 views

Identifying the pathways that control a cellular phenotype is the first step to building a mechanistic model. Recent examples in developmental biology, cancer genomics, and neurological disease have demonstrated how changes in the variability of gene expression...

["Bioinformatics","Cell Biology","Statistics"]
doi:10.7287/peerj.preprints.2585v1
419 downloads
712 views

“Omics” studies generate long lists of genes, proteins, metabolites or other features which can be difficult to decipher. Feature set enrichment analysis utilizing annotated groups/classes of features (such as pathways, gene ontology terms or gene/metabolic modules)...

["Bioinformatics","Immunology","Statistics","Metabolic Sciences","Computational Science"]
doi:10.7287/peerj.preprints.2420v1
246 downloads
387 views

The reliable detection of novel bacterial pathogens from next generation sequencing data is a key challenge for microbial diagnostics. Current computational tools usually rely on sequence similarity and often fail to detect novel species when closely related genomes...

["Bioinformatics","Genomics","Microbiology","Statistics"]
doi:10.7287/peerj.preprints.2379v1
147 downloads
929 views

Recent years have brought about the realisation of an irreproducibility crisis in science, which may have numerous causes, including common standards of statistical analysis. For decades, the methodological paradigm of null hypothesis significance testing (NHST)...

["Bioinformatics","Science and Medical Education","Statistics"]
doi:10.7287/peerj.preprints.2249v1
88 downloads
239 views

Estimation of natural selection on protein-coding sequences is a key comparative genomics approach for de novo prediction of lineage specific adaptations. Selective pressure is measured on a per-gene basis by comparing the rate of non-synonymous substitutions to...

["Bioinformatics","Computational Biology","Evolutionary Studies","Mathematical Biology","Statistics"]
doi:10.7287/peerj.preprints.2218v1
82 downloads
326 views

Motivation Nowadays, advances in technology has arisen in a huge amount of data in both biomedical research and healthcare systems. This growing amount of data gives rise to the need for new research methods and analysis techniques. Analysis of these data offers...

["Bioinformatics","Statistics","Computational Science"]
doi:10.7287/peerj.preprints.2186v1
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