GenomicRanges - Representation and manipulation of genomic intervals
The ability to efficiently represent and manipulate genomic annotations and alignments is playing a central role when it comes to analyzing high-throughput sequencing data (a.k.a. NGS data). The GenomicRanges package defines general purpose containers for storing and manipulating genomic intervals and variables defined along a genome. More specialized containers for representing and manipulating short alignments against a reference genome, or a matrix-like summarization of an experiment, are defined in the GenomicAlignments and SummarizedExperiment packages, respectively. Both packages build on top of the GenomicRanges infrastructure.
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geneticsinfrastructuredatarepresentationsequencingannotationgenomeannotationcoveragebioconductor-packagecore-packagegenomicranges
18.56 score 47 stars 1.8k dependents 31k scripts 124k downloadsBiostrings - Efficient manipulation of biological strings
Memory efficient string containers, string matching algorithms, and other utilities, for fast manipulation of large biological sequences or sets of sequences.
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sequencematchingalignmentsequencinggeneticsdataimportdatarepresentationinfrastructurebioconductor-packagecore-package
18.34 score 70 stars 1.5k dependents 14k scripts 122k downloadsSummarizedExperiment - A container (S4 class) for matrix-like assays
The SummarizedExperiment container contains one or more assays, each represented by a matrix-like object of numeric or other mode. The rows typically represent genomic ranges of interest and the columns represent samples.
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geneticsinfrastructuresequencingannotationcoveragegenomeannotationbioconductor-packagecore-package
17.11 score 39 stars 1.4k dependents 14k scripts 120k downloadsS4Vectors - Foundation of vector-like and list-like containers in Bioconductor
The S4Vectors package defines the Vector and List virtual classes and a set of generic functions that extend the semantic of ordinary vectors and lists in R. Package developers can easily implement vector-like or list-like objects as concrete subclasses of Vector or List. In addition, a few low-level concrete subclasses of general interest (e.g. DataFrame, Rle, Factor, and Hits) are implemented in the S4Vectors package itself (many more are implemented in the IRanges package and in other Bioconductor infrastructure packages).
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infrastructuredatarepresentationbioconductor-packagecore-package
17.07 score 18 stars 2.4k dependents 2.3k scripts 167k downloadsIRanges - Foundation of integer range manipulation in Bioconductor
Provides efficient low-level and highly reusable S4 classes for storing, manipulating and aggregating over annotated ranges of integers. Implements an algebra of range operations, including efficient algorithms for finding overlaps and nearest neighbors. Defines efficient list-like classes for storing, transforming and aggregating large grouped data, i.e., collections of atomic vectors and DataFrames.
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infrastructuredatarepresentationbioconductor-packagecore-packageopenmp
16.68 score 24 stars 2.1k dependents 3.7k scripts 148k downloadsDelayedArray - A unified framework for working transparently with on-disk and in-memory array-like datasets
Wrapping an array-like object (typically an on-disk object) in a DelayedArray object allows one to perform common array operations on it without loading the object in memory. In order to reduce memory usage and optimize performance, operations on the object are either delayed or executed using a block processing mechanism. Note that this also works on in-memory array-like objects like DataFrame objects (typically with Rle columns), Matrix objects, ordinary arrays and, data frames.
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infrastructuredatarepresentationannotationgenomeannotationbioconductor-packagecore-packageu24ca289073
16.01 score 29 stars 1.3k dependents 996 scripts 132k downloadsGenomeInfoDb - Utilities for manipulating chromosome names, including modifying them to follow a particular naming style
Contains data and functions that define and allow translation between different chromosome sequence naming conventions (e.g., "chr1" versus "1"), including a function that attempts to place sequence names in their natural, rather than lexicographic, order.
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geneticsdatarepresentationannotationgenomeannotationbioconductor-packagecore-package
15.90 score 36 stars 345 dependents 3.1k scripts 95k downloadsGenomicFeatures - Query the gene models of a given organism/assembly
Extract the genomic locations of genes, transcripts, exons, introns, and CDS, for the gene models stored in a TxDb object. A TxDb object is a small database that contains the gene models of a given organism/assembly. Bioconductor provides a small collection of TxDb objects in the form of ready-to-install TxDb packages for the most commonly studied organisms. Additionally, the user can easily make a TxDb object (or package) for the organism/assembly of their choice by using the tools from the txdbmaker package.
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geneticsinfrastructureannotationsequencinggenomeannotationbioconductor-packagecore-package
15.37 score 26 stars 372 dependents 6.5k scripts 41k downloadsBiocGenerics - S4 generic functions used in Bioconductor
The package defines many S4 generic functions used in Bioconductor.
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infrastructurebioconductor-packagecore-package
15.22 score 13 stars 2.9k dependents 1.3k scripts 159k downloadsBSgenome - Software infrastructure for efficient representation of full genomes and their SNPs
Infrastructure shared by all the Biostrings-based genome data packages.
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geneticsinfrastructuredatarepresentationsequencematchingannotationsnpbioconductor-packagecore-package
14.53 score 10 stars 279 dependents 2.2k scripts 30k downloadsGenomicAlignments - Representation and manipulation of short genomic alignments
Provides efficient containers for storing and manipulating short genomic alignments (typically obtained by aligning short reads to a reference genome). This includes read counting, computing the coverage, junction detection, and working with the nucleotide content of the alignments.
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infrastructuredataimportgeneticssequencingrnaseqsnpcoveragealignmentimmunooncologybioconductor-packagecore-package
14.40 score 12 stars 637 dependents 4.1k scripts 58k downloadsHDF5Array - HDF5 datasets as array-like objects in R
The HDF5Array package is an HDF5 backend for DelayedArray objects. It implements the HDF5Array, H5SparseMatrix, H5ADMatrix, and TENxMatrix classes, 4 convenient and memory-efficient array-like containers for representing and manipulating either: (1) a conventional (a.k.a. dense) HDF5 dataset, (2) an HDF5 sparse matrix (stored in CSR/CSC/Yale format), (3) the central matrix of an h5ad file (or any matrix in the /layers group), or (4) a 10x Genomics sparse matrix. All these containers are DelayedArray extensions and thus support all operations (delayed or block-processed) supported by DelayedArray objects.
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infrastructuredatarepresentationdataimportsequencingrnaseqcoverageannotationgenomeannotationsinglecellimmunooncologybioconductor-packagecore-packageu24ca289073
13.42 score 12 stars 164 dependents 1.7k scripts 42k downloadsSparseArray - High-performance sparse data representation and manipulation in R
The SparseArray package provides array-like containers for efficient in-memory representation of multidimensional sparse data in R (arrays and matrices). The package defines the SparseArray virtual class and two concrete subclasses: COO_SparseArray and SVT_SparseArray. Each subclass uses its own internal representation of the nonzero multidimensional data: the "COO layout" and the "SVT layout", respectively. SVT_SparseArray objects mimic as much as possible the behavior of ordinary matrix and array objects in base R. In particular, they suppport most of the "standard matrix and array API" defined in base R and in the matrixStats package from CRAN.
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infrastructuredatarepresentationbioconductor-packagecore-packageu24ca289073openmp
13.12 score 13 stars 1.4k dependents 126 scripts 125k downloadsS4Arrays - Foundation of array-like containers in Bioconductor
The S4Arrays package defines the Array virtual class to be extended by other S4 classes that wish to implement a container with an array-like semantic. It also provides: (1) low-level functionality meant to help the developer of such container to implement basic operations like display, subsetting, or coercion of their array-like objects to an ordinary matrix or array, and (2) a framework that facilitates block processing of array-like objects (typically on-disk objects).
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infrastructuredatarepresentationbioconductor-packagecore-packageu24ca289073
11.28 score 7 stars 1.3k dependents 21 scripts 94k downloadsRhtslib - HTSlib high-throughput sequencing library as an R package
This package provides version 1.18 of the 'HTSlib' C library for high-throughput sequence analysis. The package is primarily useful to developers of other R packages who wish to make use of HTSlib. Motivation and instructions for use of this package are in the vignette, vignette(package="Rhtslib", "Rhtslib").
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dataimportsequencingbioconductor-packagecore-packagecurlbzip2xz-utilszlib
11.17 score 11 stars 639 dependents 1 scripts 59k downloadsXVector - Foundation of external vector representation and manipulation in Bioconductor
Provides memory efficient S4 classes for storing sequences "externally" (e.g. behind an R external pointer, or on disk).
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infrastructuredatarepresentationbioconductor-packagecore-packagezlib
10.65 score 3 stars 1.9k dependents 2 scripts 140k downloadstxdbmaker - Tools for making TxDb objects from genomic annotations
A set of tools for making TxDb objects from genomic annotations from various sources (e.g. UCSC, Ensembl, and GFF files). These tools allow the user to download the genomic locations of transcripts, exons, and CDS, for a given assembly, and to import them in a TxDb object. TxDb objects are implemented in the GenomicFeatures package, together with flexible methods for extracting the desired features in convenient formats.
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infrastructuredataimportannotationgenomeannotationgenomeassemblygeneticssequencingbioconductor-packagecore-package
10.50 score 5 stars 63 dependents 423 scripts 7.9k downloadsSeqinfo - A simple S4 class for storing basic information about a collection of genomic sequences
The Seqinfo class stores the names, lengths, circularity flags, and genomes for a particular collection of sequences. These sequences are typically the chromosomes and/or scaffolds of a specific genome assembly of a given organism. Seqinfo objects are rarely used as standalone objects. Instead, they are used as part of higher-level objects to represent their seqinfo() component. Examples of such higher-level objects are GRanges, RangedSummarizedExperiment, VCF, GAlignments, etc... defined in other Bioconductor infrastructure packages.
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infrastructuredatarepresentationgenomeassemblyannotationgenomeannotationbioconductor-packagecore-package
10.43 score 1 stars 2.2k dependents 27 scripts 76k downloadsh5mread - A fast HDF5 reader
The main function in the h5mread package is h5mread(), which allows reading arbitrary data from an HDF5 dataset into R, similarly to what the h5read() function from the rhdf5 package does. In the case of h5mread(), the implementation has been optimized to make it as fast and memory-efficient as possible.
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infrastructuredatarepresentationdataimportu24ca289073curlopenssl
9.71 score 3 stars 205 dependents 4 scripts 23k downloadsUCSC.utils - Low-level utilities to retrieve data from the UCSC Genome Browser
A set of low-level utilities to retrieve data from the UCSC Genome Browser. Most functions in the package access the data via the UCSC REST API but some of them query the UCSC MySQL server directly. Note that the primary purpose of the package is to support higher-level functionalities implemented in downstream packages like GenomeInfoDb or txdbmaker.
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infrastructuregenomeassemblyannotationgenomeannotationdataimportbioconductor-packagecore-package
9.52 score 1 stars 372 dependents 16 scripts 47k downloadscigarillo - Efficient manipulation of CIGAR strings
CIGAR stands for Concise Idiosyncratic Gapped Alignment Report. CIGAR strings are found in the BAM files produced by most aligners and in the AIRR-formatted output produced by IgBLAST. The cigarillo package provides functions to parse and inspect CIGAR strings, trim them, turn them into ranges of positions relative to the "query space" or "reference space", and project positions or sequences from one space to the other. Note that these operations are low-level operations that the user rarely needs to perform directly. More typically, they are performed behind the scene by higher-level functionality implemented in other packages like Bioconductor packages GenomicAlignments and igblastr.
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infrastructurealignmentsequencematchingsequencingbioconductor-packagecore-package
9.17 score 637 dependents 8 scripts 31k downloadspwalign - Perform pairwise sequence alignments
The two main functions in the package are pairwiseAlignment() and stringDist(). The former solves (Needleman-Wunsch) global alignment, (Smith-Waterman) local alignment, and (ends-free) overlap alignment problems. The latter computes the Levenshtein edit distance or pairwise alignment score matrix for a set of strings.
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alignmentsequencematchingsequencinggeneticsbioconductor-package
7.84 score 1 stars 113 dependents 1 scripts 13k downloadsZarrArray - Bring Zarr datasets in R as DelayedArray objects
The ZarrArray package leverages the Rarr package to bring Zarr datasets in R as DelayedArray objects. The main class in the package is the ZarrArray class. A ZarrArray object is an array-like object that represents a Zarr dataset in R. ZarrArray objects are DelayedArray derivatives and therefore support all operations (delayed or block-processed) supported by DelayedArray objects.
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infrastructuredatarepresentationdataimportbioconductor-packagecore-packageu24ca289073
7.48 score 5 stars 8 dependents 13 scripts 800 downloadsigblastr - User-friendly R Wrapper to IgBLAST
The igblastr package provides functions to conveniently install and use a local IgBLAST installation from within R. The package also includes a set of preinstalled IgBLAST-compatible germline databases from OGRDB, the AIRR Community’s Open Germline Receptor Database, for various organisms. It provides functions to install additional IgBLAST-compatible germline databases using reference sequences retrieved from IMGT/V-QUEST or OGRDB, or from local FASTA files supplied by the user. When possible, annotations for the V and J alleles in a new germline database are automatically generated and added to the database, so they can be used as replacements for the internal and auxiliary data provided by IgBLAST. IgBLAST is described at <https://pubmed.ncbi.nlm.nih.gov/23671333/>. IgBLAST web interface: <https://www.ncbi.nlm.nih.gov/igblast/>. OGRDB: <https://ogrdb.airr-community.org/>. IMGT/V-QUEST download site: <https://www.imgt.org/download/V-QUEST/>.
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immunologyimmunogeneticsimmunooncologycellbiologybioconductor-package
6.94 score 5 stars 24 scripts 516 downloadsBSgenomeForge - Forge your own BSgenome data package
A set of tools to forge BSgenome data packages. Supersedes the old seed-based tools from the BSgenome software package. This package allows the user to create a BSgenome data package in one function call, simplifying the old seed-based process.
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infrastructuredatarepresentationgenomeassemblyannotationgenomeannotationsequencingalignmentdataimportsequencematchingbioconductor-packagecore-package
6.57 score 5 stars 30 scripts 632 downloadsMultipleAlignment - Representation of multiple sequence alignments in Bioconductor
The package implements a set of S4 classes (DNAMultipleAlignment, RNAMultipleAlignment, AAMultipleAlignment) for representing Multiple Sequence Alignments (MSA). The classes allow users to represent groups of aligned DNA, RNA or amino acid sequences as a single object. The package also provides functions to read/write such object from/to traditional MSA file formats including Stockholm and Clustal.
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alignmentmultiplesequencealignmentgeneticsdataimportdatarepresentationinfrastructurebioconductor-packagecore-package
5.95 score 15 dependents 5 scripts 630 downloadsSplicingGraphs - Create, manipulate, visualize splicing graphs, and assign RNA-seq reads to them
This package allows the user to create, manipulate, and visualize splicing graphs and their bubbles based on a gene model for a given organism. Additionally it allows the user to assign RNA-seq reads to the edges of a set of splicing graphs, and to summarize them in different ways.
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geneticsannotationdatarepresentationvisualizationsequencingrnaseqgeneexpressionalternativesplicingtranscriptionimmunooncologybioconductor-package
5.89 score 3 stars 29 scripts 680 downloadsupdateObject - Find/fix old serialized S4 instances
A set of tools built around updateObject() to work with old serialized S4 instances. The package is primarily useful to package maintainers who want to update the serialized S4 instances included in their package. This is still work-in-progress.
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infrastructuredatarepresentationbioconductor-packagecore-package
4.48 score 1 stars 6 scripts 372 downloadsRNAseqData.HNRNPC.bam.chr14 - Aligned reads from RNAseq experiment: Transcription profiling by high throughput sequencing of HNRNPC knockdown and control HeLa cells
The package contains 8 BAM files, 1 per sequencing run. Each BAM file was obtained by (1) aligning the reads (paired-end) to the full hg19 genome with TopHat2, and then (2) subsetting to keep only alignments on chr14. See accession number E-MTAB-1147 in the ArrayExpress database for details about the experiment, including links to the published study (by Zarnack et al., 2012) and to the FASTQ files.
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experimentdatagenomehomo_sapiens_datasequencingdatageoncirnaseqdataarrayexpressdatapkg
4.36 score 1 dependents 253 scriptspasillaBamSubset - Subset of BAM files from "Pasilla" experiment
Subset of BAM files untreated1.bam (single-end reads) and untreated3.bam (paired-end reads) from "Pasilla" experiment (Pasilla knock-down by Brooks et al., Genome Research 2011). See the vignette in the pasilla data package for how BAM files untreated1.bam and untreated3.bam were obtained from the RNA-Seq read sequence data that is provided by NCBI Gene Expression Omnibus under accession numbers GSM461176 to GSM461181. Also contains the DNA sequence for fly chromosome 4 to which the reads can be mapped.
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experimentdatagenomednaseqdatarnaseqdatadatapkg
3.76 score 287 scripts