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GATK / Genome Analysis ToolKit

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Focuses on variant discovery and genotyping. GATK provides a toolkit, developed at the Broad Institute, composed of several tools and ables to support projects of any size. The application compiles an assortment of command line allowing one to analyze of high-throughput sequencing (HTS) data in various formats such as SAM, BAM, CRAM or VCF. The website includes multiple documentation for guiding users.

SAMtools

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Allows users to interact with high-throughput sequencing data. SAMtools permits the manipulation of alignments in the SAM/BAM/CRAM formats: reading, writing, editing, indexing, viewing and converting SAM/BAM/CRAM format. It limits the mapping quality of reads with excessive mismatches and applies base alignment quality to fix alignment errors. This tool can sort and merge alignments, remove polymerase chain reaction (PCR) duplicates or generate per-position information.

BEDTools

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A software suite for the comparison, manipulation and annotation of genomic features in browser extensible data (BED) and general feature format (GFF) format. BEDTools also supports the comparison of sequence alignments in BAM format to both BED and GFF features. The tools are extremely efficient and allow the user to compare large datasets (e.g. next-generation sequencing data) with both public and custom genome annotation tracks. BEDTools can be combined with one another as well as with standard UNIX commands, thus facilitating routine genomics tasks as well as pipelines that can quickly answer intricate questions of large genomic datasets.

Picard

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Assists users in manipulating high-throughput sequencing (HTS) data and formats. Picard is a Java toolkit that provides a set of command line scripts. It comprises Java-based utilities that manipulate SAM files, and a Java API for creating new programs that reads and writes SAM files. Both SAM text format and SAM binary (BAM) format are supported. It also works with next generation sequencing (NGS).

bcftools

A statistical framework for calling SNPs, discovering somatic mutations, inferring population genetical parameters and performing association tests directly based on sequencing data. BCFtools can manipulate variant calls in the variant call format (VCF) and its binary counterpart BCF. It also can discover somatic and germline mutations with appropriate input data, efficiently estimate site allele frequency, allele frequency spectrum and linkage disequilibrium, and test Hardy–Weinberg equilibrium and association.

Octopus-toolkit

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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.

NGSUtils

A suite of software tools for manipulating data common to next-generation sequencing experiments, such as FASTQ, BED and BAM format files. With modules that operate from FASTQ pre-processing through BAM post-processing and RPKM calculations, NGSUtils compliments existing tools and provides unique functionality that helps each step of an NGS data analysis pipeline. NGSUtils covers different aspects of NGS data analysis, including pre-processing, post-processing, filtering, format conversion and final result calculations. NGSUtils provides a stable and modular platform for data management and analysis.

TCGA2BED

Aims to search and retrieve The Cancer Genome Atlas (TCGA) data. TCGA2BED converts them in the structured BED format for their seamless use and integration. Additionally, it supports the conversion in CSV, GTF, JSON, and XML standard formats. Furthermore, TCGA2BED extends TCGA data with information extracted from other genomic databases (i.e., NCBI Entrez Gene, HGNC, UCSC, and miRBase). TCGA2BED also provides an automatically updated data repository with publicly available Copy Number Variation (CNV), DNA-methylation, DNA-seq, miRNA-seq, and RNA-seq (V1,V2) experimental data of TCGA converted into the BED format, and their associated clinical and biospecimen meta data in attribute-value text format.

sam2bam

Enables users to significantly speed up pre-processing for next-generation sequencing (NGS) data. The sam2bam is especially efficient on single-node multi-core large-memory systems. It can reduce the runtime of data pre-processing in marking duplicate reads on a single node system by 156–186x compared with de facto standard tools. The sam2bam consists of parallel software components that can fully utilize multiple processors, available memory, high-bandwidth storage, and hardware compression accelerators, if available. The sam2bam provides file format conversion between well-known genome file formats, from SAM to BAM, as a basic feature. Additional features such as analyzing, filtering, and converting input data are provided by using plug-in tools, e.g., duplicate marking, which can be attached to sam2bam at runtime.

HPG pore

A scalable bioinformatic tool for exploring and analyzing nanopore sequencing data that can run both individual computers and in the Hadoop distributed computing framework. The Hadoop environment allows virtually unlimited scaling up in data size and provides better runtimes for datasets containing a large number of reads. HPG Pore allows efficient management of huge amounts of data and thus constitutes a practical solution for data analysis needs in the near future as well as a promising model for the development of new tools to deal with future genomic big data.

GROK / Genomic Region Operation Toolkit

Facilitates translation of biomedical research questions to language amenable for computational analysis. GROK supports various deep sequencing (DS)-related operations such as preprocessing, filtering, file conversion, and sample comparison. It supports major genomic file formats and allows storing custom genomic regions in efficient data structures such as red-black trees and SQL databases. The tool can facilitate answering biomedical research questions and establish experimentally testable predictions.

fconv

Intends to parse and manipulate multiple aspects and properties of molecular data. fconv is a robust and comprehensive tool involved in a broad range of computational workflows that are currently applied in drug design environment. Typical tasks are as follows: conversion and error correction of formats such as PDB(QT), MOL2, SDF, DLG and CIF; extracting ligands from PDB as MOL2; automatic or ligand-based cavity detection; root-mean-square deviation (RMSD) calculation and clustering; substructure searches; alignment and structural superposition; building of crystal packings; adding hydrogens; calculation of various properties like the number of rotatable bonds; molecular weights or van der Waals volumes.

SraTailor

A simple GUI software tool for visualizing published ChIP-seq raw data. SraTailor automatically converts an SRA into a BigWig-formatted file. Simplicity of use is one of the most notable features of SraTailor: entering an accession number of an SRA and clicking the mouse are the only steps required to obtain BigWig-formatted files and to graphically visualize the extents of reads at given loci. SraTailor is also able to make peak calls, generate files of other formats, process users' own data, and accept various command-line-like options. Therefore, this software makes ChIP-seq data fully exploitable by a wide range of biologists.

FASTX-Toolkit

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A collection of command line tools for Short-Reads FASTA/FASTQ files preprocessing. Next-Generation sequencing machines usually produce FASTA or FASTQ files, containing multiple short-reads sequences (possibly with quality information). The main processing of such FASTA/FASTQ files is mapping (aka aligning) the sequences to reference genomes or other databases using specialized programs. Example of such mapping programs are: Blat, SHRiMP, LastZ, MAQ and many many others.