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Trimmomatic
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Performs a variety of trimming tasks for Illumina paired-end and single ended data. Trimmomatic is a flexible, pair-aware preprocessing tool, optimized for Illumina next-generation sequencing (NGS) data. The software includes several processing steps for read trimming and filtering. It uses a pipeline-based architecture, allowing individual ‘steps’ (adapter removal, quality filtering, etc.) to be applied to each read/read pair, in the order specified by user.
NGS-QC Generator / Next Generation Sequencing Quality Control generator
Assists users to evaluate the quality of ChIP-seq. The NGS-QC database hosts quality scores for over 28,000 datasets, covering a variety of ChIP-sequencing and related assays performed from about 8 species (Homo sapiens: 54%; Mus musculus: 34%; D. melanogaster: 6%). It contains an algorithm designed to: (i) infer a set of global QC indicators (QCis); or to (ii) provide local QCis to judge the robustness of cumulative read counts in a particular region.
AlienTrimmer
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Detects and removes multiple alien sequences in both ends of sequence reads. Based on the decomposition of specified alien nucleotide sequences into k-mers, AlienTrimmer is able to determine whether such alien k-mers are occurring in one or in both read ends by using a simple polynomial algorithm. Therefore, AlienTrimmer can process typical HTS single- or paired-end files with millions of reads in several minutes with very low computer resources.
skewer
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Implements a dynamic programming algorithm dedicated to the task of adapter trimming. Skewer is specially designed for processing illumina paired-end sequences. Experiments on simulated data, real data of small RNA sequencing, paired-end RNA sequencing, and Nextera LMP sequencing showed that Skewer outperforms all other similar tools that have the same utility. Further, Skewer is considerably faster than other tools that have comparative accuracies; namely, one times faster for single-end sequencing, more than 12 times faster for paired-end sequencing, and 49% faster for LMP sequencing.
Seqpurge
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A highly-sensitive adapter trimmer that uses a probabilistic approach to detect the overlap between forward and reverse reads of Illumina sequencing data. SeqPurge can detect very short adapter sequences, even if only one base long. Compared to other adapter trimmers specifically designed for paired-end data, SeqPurge achieves a higher sensitivity. The number of remaining adapter bases after trimming is reduced by up to 90 %, depending on the compared tool. In simulations with different error rates, SeqPurge is also the most error-tolerant adapter trimmer in the comparison.
dDocent
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Designed to process individually barcoded Restriction-site associated DNA sequencing (RADseq) data (with double cut sites) into informative single nucleotide polymorphisms (SNPs)/Indels for population-level analyses. dDocent uses data reduction techniques and other stand-alone software packages to perform quality trimming and adapter removal, de novo assembly of RAD loci, read mapping, SNP and Indel calling, and baseline data filtering. Double-digest RAD data from population pairings of three different marine fishes were used to compare dDocent with Stacks, the first generally available, widely used pipeline for analysis of RADseq data. dDocent consistently identified more SNPs shared across greater numbers of individuals and with higher levels of coverage.
Stacks
Builds genetic maps and conducts population genomics and phylogeography. Stacks is a software system developed to work with restriction enzyme-based data, such as RAD-seq. The software produces core population genomic summary statistics and single nucleotide polymorphism (SNP)-by-SNP statistical tests. It aims to be a key resource to empower researchers to efficiently perform ecological and evolutionary genomic studies in model organisms and particularly in organisms with minimal or no genomic resources.
Octopus-toolkit
Examines epigenomic and transcriptomic next generation sequencing (NGS) data. Octopus-toolkit can be used for antibody- or enzyme-mediated experiments and studies for the quantification of gene expression. It can accelerate the data mining of public epigenomic and transcriptomic NGS data for basic biomedical research. This tool provides a private and a public mode: one to process the user’s own data, and the other to analyze public NGS data by retrieving raw files from the GEO database.
TagDust
Allows extraction and labelling of the sequences to be mapped in downstream pipelines, from next-generation sequencing (NGS) data. TagDust performs all steps required to go from raw to mappable sequences and therefore simplifies processing pipelines. The software, using hidden Markov models (HMMs), can work on datasets with a broad range of sequencing error rates. It enables users to define several read architectures and to use the same pipeline for the preprocessing of diverse data types.
cutadapt
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Finds and removes adapter sequences, primers, poly-A tails and other types of unwanted sequence from your high-throughput sequencing reads. Cutadapt helps with these trimming tasks by finding the adapter or primer sequences in an error-tolerant way. It can also modify and filter reads in various ways. Adapter sequences can contain IUPAC wildcard characters. Also, paired-end reads and even colorspace data is supported. If you want, you can also just demultiplex your input data, without removing adapter sequences at all.
ShortRead
A package for input, quality assessment, manipulation and output of high-throughput sequencing data. ShortRead extends Bioconductor with tools useful in the initial stages of short-read DNA sequence analysis. Main functionalities include data input, quality assessment, data transformation and access to downstream analysis opportunities. It is an important gateway to use of Bioconductor for processing high-throughput DNA sequence data. ShortRead data structures allow convenient manipulation of data, such as filtering reads based on sequence characteristics.
NGS-Trex / NGS TRanscriptome profile EXplorer
Allows user to upload raw sequences and obtain an accurate characterization of the transcriptome profile. NGS-Trex can assess differential expression at both gene and transcript level. It compares the expression profile of different samples. All comparisons are performed using a custom database which is mainly populated with several sources obtained from the NCBI. The tool allows user to discard ambiguously assigned reads or to assign those reads to all competing genes in the case of ambiguities.
SAMSA / Simple Analysis of Metatranscriptome Sequence Annotations
Analyzes and characterizes activity within a metatranscriptome. SAMSA has four phases: (1) the preprocessing phase trims and combines reads for input to the annotation phase; (2) the annotation phase provides an annotation for each read; (3) the aggregation phase aggregates organism and function information across all reads; and (4) the analysis phase provides visualizations and statistical analysis. It runs either in-house or in conjunction with Metagenome-RAST (MG-RAST) servers.
PHYLUCE
A package for phylogenomic analyses of data collected from conserved genomic loci using targeted enrichment. PHYLUCE allows the assembly of raw read data to contigs, the identification of ultra-conserved elements (UCE) contigs, parallel alignment generation, alignment trimming, and alignment data summary methods in preparation for analysis and alignment and SNP calling using UCE or other types of raw-read data. As it stands, the PHYLUCE package is useful for analyzing both data collected from UCE loci and also data collection from other types of loci for phylogenomic studies at the species, population, and individual levels.
Figaro
Identifies and removes the vector from raw DNA sequence data without prior knowledge of the vector sequence. Figaro is able to determine which DNA words are most likely associated with vector sequence by statistically modeling short oligonucleotide frequencies within a set of reads. This algorithm can be used to correctly identify the vector clipping points for sequences obtained from public databases. The code was implemented as a single streamlined module which can be easily integrated into a high-throughput computational pipeline. The code is distributed through the AMOS package.
ERNE / Extended Randomized Numerical alignEr
A short string alignment package whose goal is to provide an all-inclusive set of tools to handle short (NGS-like) reads. ERNE 2 (a.k.a. bw-erne) uses the Burrows Wheeler Transformation (BWT) to reduce memory requirements preserving its speed and accuray. ERNE 2 comprises ERNE-MAP (core alignment tool/algorithm), ERNE-BS5 (bisulfite treated reads aligner), ERNE-FILTER (quality trimming and contamination filtering), and parallel version of the aligners (ERNE-PMAP and ERNE-PBS5). The alignment core supports indels and one long gap.
ST Pipeline
Permits to process and analyze the raw files generated with the Spatial Transcriptomics (ST) method. ST Pipeline enables demultiplexing of spatially-resolved RNA-seq data and robust quality filtering and identification of unique molecules. It is highly customizable with numerous parameter settings. The tool is more robust, efficient and scales better to arrays with higher density. It filters data, aligns it to a genome, annotates it to a reference, demultiplexes by array coordinates and then aggregates by counts that are not duplicates using the Unique Molecular Identifiers.
RADIS / analysis of RAD-seq data for InterSpecific phylogeny
Automates and standardizes the analyses of RAD-seq data for phylogenetic inference. Users of RADIS can let their raw Illumina data be processed up to phylogenetic tree inference, or stop (and restart) the process at some point. Different values for key parameters can be explored in a single analysis (e.g. loci building, sample/loci selection), making possible a thorough exploration of data. RADIS relies on Stacks for demultiplexing of data, removing PCR duplicates and building individual and catalog loci. Scripts have been specifically written for trimming of reads and loci/sample selection. Finally, RAxML is used for phylogenetic inferences, though other software may be utilised.
BBMap
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Uses as a splice-aware aligner for short and long reads. BBMap is shown to be a fast and accurate aligner, capable of correctly handling an overall wider variety of references, reads, and mutations than others. It has particularly outstanding performance with deletions, especially long ones, that other aligners cannot handle at all. It can output many different statistics files, such as an empirical read quality histogram, insert-size distribution, and genome coverage, with or without generating a sam file.
BBDuk
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Filters or trims reads for adapters and contaminants using k-mers. BBDuk was developed to combine most common data-quality-related trimming, filtering, and masking operations into a single high-performance tool. It is capable of quality-trimming and filtering, adapter-trimming, contaminant-filtering via k-mer matching, sequence masking, GC-filtering, length filtering, entropy-filtering, format conversion, histogram generation, subsampling, quality-score recalibration, k-mer cardinality estimation, and various other operations in a single pass.
CLC bio / CLC Genomics Workbench
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Allows to analyze, compare, and visualize next generation sequencing (NGS) data. CLC Genomics Workbench offers a complete and customizable solution for genomics, transcriptomics, epigenomics, and metagenomics. The software enables to generate custom workflows, which can combine quality control steps, adapter trimming, read mapping, variant detection, and multiple filtering and annotation steps into a pipeline.
CoVaCS / Consensus Variant Calling System
Enables genotyping and variant annotation of resequencing data produced by second generation next generation sequencing (NGS) technologies. CoVaCS is an automated system that provides tools for variant calling and annotation along with a pipeline for the analysis of whole genome shotgun (WGS), whole exome sequencing (WES) and targeted resequencing data (TGS). The software allows non-specialists to perform all steps from quality trimming to variant annotation.
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