Enter the query into the form above. You can look for specific version of a package by using @ symbol like this: gcc@10.
API method:
GET /api/packages?search=hello&page=1&limit=20
where search is your query, page is a page number and limit is a number of items on a single page. Pagination information (such as a number of pages and etc) is returned
in response headers.
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This program searches for and removes remnant adapter sequences from High-Throughput Sequencing (HTS) data and (optionally) trims low quality bases from the 3' end of reads following adapter removal. AdapterRemoval can analyze both single end and paired end data, and can be used to merge overlapping paired-ended reads into (longer) consensus sequences. Additionally, the AdapterRemoval may be used to recover a consensus adapter sequence for paired-ended data, for which this information is not available.
This package can be used to normalize cytometry samples when a control sample is taken along in each of the batches. This is done by first identifying multiple clusters/cell types, learning the batch effects from the control samples and applying quantile normalization on all markers of interest.
This package is a Python wrapper for Aaron Quinlan's BEDtools programs, which are widely used for genomic interval manipulation or "genome algebra". pybedtools extends BEDTools by offering feature-level manipulations from with Python.
Bio++ is a set of C++ libraries for Bioinformatics, including sequence analysis, phylogenetics, molecular evolution and population genetics. This library provides sequence-related modules.
Straw is library which allows rapid streaming of contact data from .hic files. This package provides Python bindings.
Ngless is a domain-specific language for next-generation sequencing (NGS) data processing.
This tool is for building Generalized Additive Models in Python. It emphasizes modularity and performance. The API will be immediately familiar to anyone with experience of scikit-learn or scipy.
MafFilter is a program dedicated to the analysis of genome alignments. It parses and manipulates MAF files as well as more simple fasta files. This package can be used to design a pipeline as a series of consecutive filters, each performing a dedicated analysis. Many of the filters are available, from alignment cleaning to phylogeny reconstruction and population genetics analysis. Despite various filtering options and format conversion tools, MafFilter can compute a wide range of statistics (phylogenetic trees, nucleotide diversity, inference of selection, etc.).
This package provides helper functions to detect cross-hybridization on Illumina DNAm arrays.
This package provides a method to detect and enable removal of doublets from single-cell RNA-sequencing.
This is a package for the discovery of communities in Pore-C concatemers.
NGS is a domain-specific API for accessing reads, alignments and pileups produced from Next Generation Sequencing. The API itself is independent from any particular back-end implementation, and supports use of multiple back-ends simultaneously.
The Maxprobes package collects cross-reactive probes of Illumina methylation array 450K and EPIC/850K.
Bloom-filter-based error correction solution for high-throughput sequencing reads (BLESS) uses a single minimum-sized bloom filter is a correction tool for genomic reads produced by Next-generation sequencing (NGS). BLESS produces accurate correction results with much less memory compared with previous solutions and is also able to tolerate a higher false-positive rate. BLESS can extend reads like DNA assemblers to correct errors at the end of reads.
Implementation of the Smith-Waterman algorithm.
PDBFixer is designed to rectify issues in Protein Data Bank files. Its intuitive interface simplifies the process of resolving problems encountered in PDB files prior to simulation tasks.
DNA Features Viewer is a Python library to visualize DNA features, e.g. from GenBank or Gff files, or Biopython SeqRecords.
Genrich is a peak-caller for genomic enrichment assays (e.g. ChIP-seq, ATAC-seq). It analyzes alignment files generated following the assay and produces a file detailing peaks of significant enrichment.
Fastp is a tool designed to provide fast all-in-one preprocessing for FastQ files. This tool has multi-threading support to afford high performance.
wfmash is a DNA sequence read mapper based on mash distances and the wavefront alignment algorithm. It is a fork of MashMap that implements base-level alignment via the wflign tiled wavefront global alignment algorithm. It completes MashMap with a high-performance alignment module capable of computing base-level alignments for very large sequences.
python-gffutils is a Python package for working with and manipulating the GFF and GTF format files typically used for genomic annotations. The files are loaded into a SQLite database, allowing much more complex manipulation of hierarchical features (e.g., genes, transcripts, and exons) than is possible with plain-text methods alone.
METAL is a tool for meta-analysis genomewide association scans. METAL can combine either test statistics and standard errors or p-values across studies (taking sample size and direction of effect into account). METAL analysis is a convenient alternative to a direct analysis of merged data from multiple studies. It is especially appropriate when data from the individual studies cannot be analyzed together because of differences in ethnicity, phenotype distribution, gender or constraints in sharing of individual level data imposed. Meta-analysis results in little or no loss of efficiency compared to analysis of a combined dataset including data from all individual studies.
Ngesh is a Python library and CLI tool for simulating phylogenetic trees and data. It is intended for benchmarking phylogenetic methods, especially in historical linguistics andstemmatology. The generation of stochastic phylogenetic trees also goes by the name simulationmethods for phylogenetic trees, synthetic data generation, or just phylogenetic tree simulation.
This package provides a Variant Effect Predictor, which predicts the functional effects of genomic variants. It also provides Haplosaurus, which uses phased genotype data to predict whole-transcript haplotype sequences, and Variant Recoder, which translates between different variant encodings.