Amon

@AmonCode

拨弄时光的指针;遨游命运的影子;欺诈与恶作剧的化身

Python
TypeScript
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    Amon/oepkgs-management forked from oepkgs/oepkgs-management

    Amon/cutadapt forked from src-oepkgs/cutadapt

    Cutadapt finds and removes adapter sequences, primers, poly-A tails and other types of unwanted sequence from your high-throughput sequencing reads.

    Amon/wrf forked from src-oepkgs/wrf

    Weather Research and Forecasting Model

    Amon/featurecounts forked from src-oepkgs/featurecounts

    The Subread software package is a tool kit for processing next-gen sequencing data. It includes Subread aligner, Subjunc exon-exon junction detector and featureCounts read summarization program.Subread aligner can be used to align both gDNA-seq and RNA-seq reads. Subjunc aligner was specified designed for the detection of exon-exon junction. For the mapping of RNA-seq reads, Subread performs local alignments and Subjunc performs global alignments.

    Amon/lammps forked from src-oepkgs/lammps

    LAMMPS is a classical molecular dynamics code with a focus on materials modeling. LAMMPS has potentials for solid-state materials (metals, semiconductors) and soft matter (biomolecules, polymers) and coarse-grained or mesoscopic systems. It can be used to model atoms or, more generically, as a parallel particle simulator at the atomic, meso, or continuum scale. LAMMPS runs on single processors or in parallel using message-passing techniques and a spatial-decomposition of the simulation domain.

    Amon/busco forked from src-oepkgs/busco

    Based on evolutionarily-informed expectations of gene content of near-universal single-copy orthologs, BUSCO metric is complementary to technical metrics like N50.

    Amon/bwa forked from src-oepkgs/bwa

    BWA is a software package for mapping DNA sequences against a large reference genome, such as the human genome. It consists of three algorithms: BWA-backtrack, BWA-SW and BWA-MEM. The first algorithm is designed for Illumina sequence reads up to 100bp, while the rest two for longer sequences ranged from 70bp to a few megabases. BWA-MEM and BWA-SW share similar features such as the support of long reads and chimeric alignment, but BWA-MEM, which is the latest, is generally recommended as it is faster and more accurate. BWA-MEM also has better performance than BWA-backtrack for 70-100bp Illumina reads. For all the algorithms, BWA first needs to construct the FM-index for the reference genome (the index command). Alignment algorithms are invoked with different sub-commands: aln/samse/sampe for BWA-backtrack, bwasw for BWA-SW and mem for the BWA-MEM algorithm.

    Amon/repeatmasker forked from src-oepkgs/repeatmasker

    RepeatMasker is a program that screens DNA sequences for interspersed repeats and low complexity DNA sequences.

    Amon/gromacs forked from src-oepkgs/gromacs

    GROMACS is a versatile package to perform molecular dynamics, i.e. simulate the Newtonian equations of motion for systems with hundreds to millions of particles and is a community-driven project. It is primarily designed for biochemical molecules like proteins, lipids and nucleic acids that have a lot of complicated bonded interactions, but since GROMACS is extremely fast at calculating the nonbonded interactions (that usually dominate simulations) many groups are also using it for research on non-biological systems, e.g. polymers and fluid dynamics.

    Amon/genewise forked from src-oepkgs/genewise

    genewise: a program for aligning proteins or protein HMMs to DNA, and dynamite a rather cranky "macro language" which automates the production of dynamic programming.

    Amon/allhic forked from src-oepkgs/allhic

    ALLHiC: Phasing and scaffolding polyploid genomes based on Hi-C data

    Amon/hmmer forked from src-oepkgs/hmmer

    HMMER is used for searching sequence databases for sequence homologs, and for making sequence alignments. It implements methods using probabilistic models called profile hidden Markov models (profile HMMs).

    Amon/eigensoft forked from src-oepkgs/eigensoft

    The EIGENSTRAT method uses principal components analysis to explicitly model ancestry differences between cases and controls along continuous axes of variation; the resulting correction is specific to a candidate marker’s variation in frequency across ancestral populations, minimizing spurious associations while maximizing power to detect true associations. The EIGENSOFT package has a built-in plotting script and supports multiple file formats and quantitative phenotypes.

    Amon/openEuler_hpc forked from openEuler/hpc

    openEuler High Performance Computing(HPC) SIG

    Amon/openEuler-HPC forked from src-oepkgs/openEuler-HPC

    openEuler High Performance Computing(HPC)

    Amon/hpc forked from openEuler/hpc

    openEuler High Performance Computing(HPC) SIG

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