Yasas Wijesekara (Yasas1994)

Yasas1994

Geek Repo

Company:University of Greifswald

Location:Germany

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Yasas Wijesekara's repositories

Jaeger

Jaeger is a quick and precise tool for detecting phages in sequence assemblies.

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Clustering-significance-test

Permutation test for identification of statistically significant clusters in a phylogenetic tree

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phables

🫧🧬 From fragmented assemblies to high-quality bacteriophage genomes

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bioconda-recipes

Conda recipes for the bioconda channel.

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phage_contig_annotator

Annotates genes on putative phage contigs with protein orthologous groups using PHROGs

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DeepLearningNoteBooks

Tutorials for different deep learning models

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MGnify-assembly-downloader

Downloads all assemblies available on MGnify

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download-and-reannotation-of-phage-genomes

A snakemake workflow for downloading and reannotating phage genomes

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genomad-annotate-module

A snakemake workflow implementing the genomad annotate module steps

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atlas

ATLAS - Three commands to start analyzing your metagenome data

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SqueezeMeta

A complete pipeline for metagenomic analysis

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CAT

CAT/BAT: tool for taxonomic classification of contigs and metagenome-assembled genomes (MAGs)

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CoverM

Read coverage calculator for metagenomics

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github-readme-quotes

🔥 Add Programming Quotes To Your GitHub Readme

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viroinf-hiddensee

Datasets for the ViroInf Hiddensee workshop

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metaWRAP

MetaWRAP - a flexible pipeline for genome-resolved metagenomic data analysis

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What_the_Phage

WtP: Phage identification via nextflow and docker or singularity

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fastp

An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)

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awesome-go

A curated list of awesome Go frameworks, libraries and software

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FAMSA

Algorithm for ultra-scale multiple sequence alignments (3M protein sequences in 5 minutes and 24 GB of RAM)

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pharokka

fast phage annotation program

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metaeuk

MetaEuk - sensitive, high-throughput gene discovery and annotation for large-scale eukaryotic metagenomics

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handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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pyhmmer

Cython bindings and Python interface to HMMER3.

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machine-learning-articles

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

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fluffy-racoon

Data visualisation scripts and notebooks for data-science projects

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