Search Results for "estimates"
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Showing 12 open source projects for "estimates"
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kSNP
kSNP4 does SNP discovery and SNP annotation from whole genomes
kSNP4 identifies the pan-genome SNPs in a set of genome sequences, and estimates phylogenetic trees based upon those SNPs. SNP discovery is based on k-mer analysis, and requires no multiple sequence alignment or the selection of a reference genome, so kSNP4 can take 100's of microbial genomes as input. A SNP locus is defined by an oligo of length k surrounding a central SNP allele. kSNP4 can analyze both complete (finished) genomes and unfinished genomes in assembled contigs or raw, unassembled reads. ... -
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The RDP Classifier is a naive Bayesian classifier that can rapidly and accurately provides taxonomic assignments for bacterial and archaeal 16S rRNA sequences, fungal LSU and fungal ITS sequences, with confidence estimates for each assignment. More information and tutorials on how to install, use and retrain RDP Clasifier can be found on at https://github.com/rdpstaff/classifier and John Quensen's blog (https://john-quensen.com/). Citation: 1. Wang Q, Garrity GM, Tiedje JM, Cole JR. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. ...
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TASSEL
TASSEL is a bioinformatics software package
TASSEL is a bioinformatics software package that can analyze diversity for sequences, SNPs, or SSRs. Genotype/phenotype associations can be carried out by GLM or a mixed model. Estimates distance and linkage disequilibrium statistics. -
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Toxtree: Toxic Hazard Estimation
Toxicity prediction for chemical compounds
A GUI application which estimates toxic hazard of chemical compounds. The latest version includes the following toxicity prediction modules: -Cramer rules (oral toxicity) -Toxicity mode of action via Verhaar scheme -Skin irritation and Eye irritation prediction -Benigni / Bossa rulebase for mutagenicity and carcinogenicity prediction -START biodegradation and persistence prediction -Skin sensitisation reactivity domain -Kroes TTC Decision tree -SMARTCyp - Cytochrome P450-Mediated Drug Metabolism and metabolites prediction -Structure Alerts for the in vivo micronucleus assay in rodents (ISSMIC) -Structural Alerts for Functional Group Identification (ISSFUNC) -Structural alerts associated with covalent protein binding and DNA binding... -
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Calis-p
Estimates delta13C of species in a microbiome from proteome data
Calis-p (The CALgary approach to ISotopes in proteomics) is a java application to estimate isotopic composition (e.g. delta13C or delta15N) of individual species in a microbial community from a proteomic dataset. Calis-p 2.0 handles both natural isotope abundances and data from labelling experiments such as stable isotope probing (SIP). It requires a mzIdent (or target spectrum match) and mzML files as the input and requires about 1 min per mzML file with 10 threads and needs <10 Gb of RAM.... -
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ImagingAnalysis
Direct tissue-level image quantification package for Mathematica
ImagingAnalysis is a Mathematica package that performs grid-based analysis of time-lapse imaging data saved in a sequence of TIFF files. This package requires Mathematica 7.0. Revised on 14 May 2017: Bugs are fixed and incompatibility issues are resolved. The current version runs on Mathematica 11. -
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MSTgold
Estimate minimum spanning trees with statistical bootstrap support
Minimum spanning tree (MST) algorithms can generate multiple, equally-minimal, MSTs but MST programs typically report only one, arbitrarily chosen MST. Similarly, most MST programs do not provide statistical metrics to support the credibility of the MSTs that they estimate. MSTgold estimates the number of alternative MSTs, reports up to a user-determined number of those trees, reports a consensus tree, and implements a bootstrapping metric to assess the reliability of alternate MST solutions. MSTgold accepts single-character data that are nucleotides, amino acids, binary characters, or SNPs; integers that represent, for instance, the lengths of VNTRs or microsatellites; and distance matrices. ... -
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PRIMUS
Pedigree Reconstruction and Identification of a Maximum Unrelated Set
...We present a method adapted from graph theory that always identifies the maximum set of unrelated individuals in any dataset, and allows weighting parameters to be utilized in unrelated sample selection. PRIMUS reads in user-generated IBD estimates and outputs the maximum possible set of unrelated individuals, given a specified threshold of relatedness. Additional information for preferential selection of individuals may also be utilized. For example, when there are two equally sized maximum sets of unrelated individuals in a network, PRIMUS can preferentially select the set with more affected individuals. ... -
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PRADA
PRADA : Pipeline for RNA-Sequencing Data Analysis
Massively parallel sequencing of cDNA reverse transcribed from RNA (RNASeq) provides an accurate estimate of the quantity and composition of mRNAs. To characterize the transcriptome through the analysis of RNA-seq data, we developed PRADA. PRADA focuses on the processing and analysis of gene expression estimates, supervised and unsupervised gene fusion identification, and supervised intragenic deletion identification. PRADA currently supports 7 modules to process and identify abnormalities from RNAseq data: preprocess: Generates aligned and recalibrated BAM files. expression: Generates gene expression (RPKM) and quality metrics. ... -
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ARDEN
Specificity Control for Read Alignments Using an Artificial Reference
We introduce ARDEN (Artificial Reference Driven Estimation of false positives in NGS data), a novel benchmark that estimates error rates based on real experimental reads and an additionally generated artificial reference genome. It allows the computation of error rates specifically for a dataset and the construction of a ROC-curve. Thereby, it can be used to optimize parameters for read mappers, to select read mappers for a specific problem or also to filter alignments based on quality estimation. -
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PHACCS is a bioinformatic tool designed for a scientific public. It gives estimates of the structure and diversity of uncultured viral communities using metagenomic information.
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SeqExpress is a cross-platform software that estimates gene/isoform expressioin level via mRNA-Seq data. SeqExpress exams the Sequencing bias in mRNA-Seq and correct it to get more accurate estimation.
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