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A software package for the inference of locus-specific ancestry in recently admixed populations. LAMP-LD takes the genotypes of admixed individuals as well as reference haplotype panels approximating the mixing ancestral populations, and outputs the estimated number of alleles from each ancestry in each locus for each individual. The LAMP-LD package also includes the program LAMP-HAP, which processes haplotype data when high-quality phasing is available, and utilizes trio nuclear family designs to improve estimation accuracy. LAMP-LD is based on a window-based processing combined within a hierarchical Hidden Markov Model. It can process 2,3 or 5 mixing populations, and its short per-sample processing time makes it suitable for analyzing large datasets of dense SNP panels. The original program LAMP does not use the LD and therefore is not as accurate, but it is useful in cases where the SNP density is not high enough or when the ancestral haplotypes are unkown.

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• SciCrunch
• 13 years ago - by Anonymous

Software program suitable for genome-scale data which uses a Markov-hidden Markov model (MHMM) to estimate local ancestry. The MHMM makes it possible to identify genomic blocks of a particular ancestry by use of any high-density single-nucleotide-polymorphism panel. One application is to perform admixture mapping without genotyping special ancestry-informative-marker panels.

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• SciCrunch
• 13 years ago - by Anonymous

A software package that tests groups of covariates (or features) for association with a response variable. The package implements the test with diagnostic plots and multiple testing utilities, along with several functions to facilitate the use of this test for gene set testing of GO and KEGG terms.

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• SciCrunch
• 13 years ago - by Anonymous

Software package for non-parametric bootstrap and permutation resampling-based multiple testing procedures (including empirical Bayes methods) for controlling the family-wise error rate (FWER), generalized family-wise error rate (gFWER), tail probability of the proportion of false positives (TPPFP), and false discovery rate (FDR). Several choices of bootstrap-based null distribution are implemented (centered, centered and scaled, quantile-transformed). Single-step and step-wise methods are available. Tests based on a variety of t- and F-statistics (including t-statistics based on regression parameters from linear and survival models as well as those based on correlation parameters) are included. When probing hypotheses with t-statistics, users may also select a potentially faster null distribution which is multivariate normal with mean zero and variance covariance matrix derived from the vector influence function. Results are reported in terms of adjusted p-values, confidence regions and test statistic cutoffs. The procedures are directly applicable to identifying differentially expressed genes in DNA microarray experiments.

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• SciCrunch
• 13 years ago - by Anonymous

Software package providing a variable selection method for applying survival analysis to microarray data.

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• SciCrunch
• 13 years ago - by Anonymous

Software package for survival time prediction based on a piecewise baseline hazard Cox regression model. It is meant to help predict survival times in the presence of high-dimensional explanatory covariates.

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• SciCrunch
• 13 years ago - by Anonymous

Ontology of a set of body-system terms used in the ICD (International Classification of Diseases) 11 revision

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• SciCrunch
• 13 years ago - by Anonymous

Software R package for analysis of case-control studies in genetic epidemiology.

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• SciCrunch
• 16 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software package to facilitate the testing of Copy Number Variant data for genetic association, typically in case-control studies.

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• SciCrunch
• 13 years ago - by Anonymous

Software for classes and statistical methods for large single nucleotide polymorphism (SNP) association studies.

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• SciCrunch
• 13 years ago - by Anonymous

Software program for counting k-mers in DNA sequence data. It identifies all the k-mers that occur more than once in a DNA sequence data set using a Bloom filter, a probabilistic data structure that stores all the observed k-mers implicitly in memory with greatly reduced memory requirements.

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• SciCrunch
• 13 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software for DNA sequencing analysis that integates with Sanger Sequencing files generated by Applied Biosystems Genetic Analyzers, MegaBACE, and Beckman CEQ electrophoresis systems. It can be used to find single nucleotide polymorphisms (SNPs), insertions and deletions (INDELS), and somatic mutations in direct sequencing, PCR sequencing, mitochondrial DNA sequencing, and resequencing projects.

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• SciCrunch
• 13 years ago - by Anonymous

A k-mer counting software that can count k-mers of large Illumina datasets on laptops and desktop computers.

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• SciCrunch
• 13 years ago - by Anonymous

Software utility for counting k-mers (sequences of consecutive k symbols) in a set of reads from genome sequencing projects. It scans the raw reads and produces a compact representation of all non-unique reads accompanied with number of their occurrences. The algorithm implemented makes use mostly of disk space rather than RAM, which allows to use KMC even on rather typical personal computers.

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• SciCrunch
• 13 years ago - by Anonymous

A collection of flexible and memory-efficient software programs for k-mer counting and indexing of large sequence sets. It is based on enhanced suffix arrays which gives a much larger flexibility concerning the choice of the k-mer size. It can process large data sizes of several billion bases.

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• SciCrunch
• 13 years ago - by Anonymous

A web-based genome analysis platform that integrates proprietary functional genomic data, metabolic reconstructions, expression profiling, and biochemical and microbiological data with publicly available information. Focused on microbial genomics, it provides better and faster identification of gene function across all organisms. Building upon a comprehensive genomic database integrated with a collection of microbial metabolic and non-metabolic pathways and using proprietary algorithms, it assigns functions to genes, integrates genes into pathways, and identifies previously unknown or mischaracterized genes, cryptic pathways and gene products. . * Automated and manual annotation of genes and genomes * Analysis of metabolic and non-metabolic pathways to understand organism physiology * Comparison of multiple genomes to identify shared and unique features and SNPs * Functional analysis of gene expression microarray data * Data-mining for target gene discovery * In silico metabolic engineering and strain improvement

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• SciCrunch
• 13 years ago - by Anonymous

Software to detect short insertion / deletion variants (and SNPs) from population sequence data, i.e. sequence reads generated from a population of individuals. It uses a probabilistic model to utilize sequence reads from a population of individuals to automatically account for context-specific sequencing errors associated with indels. piCALL is implemented in C for use on Linux platforms and can be applied to sequence data from different sequencing platforms. However, the method requires each individual in a dataset to be sequenced using the same platform. The reads for each individual should be aligned to the same reference genome sequence. Note that the program will not be able to call indels from individual sequence datasets or data from a small number of individuals.

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• SciCrunch
• 13 years ago - by Anonymous

A software basecaller for Illumina sequencers with calibrated quality scores.

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• SciCrunch
• 13 years ago - by Anonymous

Software for tracking and quantifying DNA damage patterns among ancient DNA sequencing reads generated by Next-Generation Sequencing platforms.

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• SciCrunch
• 13 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 23,2022. Software program for deduplicating sequence fragments. It minimises memory usage by compressing sequences and using compact memory allocation techniques. A built-in parser allows a variety of input file formats and a simple specification language allows flexible output file formats. It can be made aware of paired-end reads, and it can handle degenerate sequence inserts intended to reveal amplification biases. Tally comes with reaper, a program for demultiplexing, trimming and filtering short read sequencing data.

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• SciCrunch
• 13 years ago - by Anonymous