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Search results for perl ngs
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24 search results found
Impact Pipeline
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47
Framework to process and call somatic variation from NGS dataset generated using MSK-IMPACT assay
Hlaminer
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46
⛏HLA predictions from NGS shotgun data
Snpsplit
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43
Allele-specific alignment sorting
Mtbseq_source
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32
MTBseq is an automated pipeline for mapping, variant calling and detection of resistance mediating and phylogenetic variants from illumina whole genome sequence data of Mycobacterium tuberculosis complex isolates.
Pgcgap
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29
The Prokaryotic Genomics and Comparative Genomics Analysis Pipeline
Bac Genomics Scripts
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28
Collection of scripts for bacterial genomics
Allelecount
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23
Support code for NGS copy number algorithms. Takes a file of locations and a [cr|b]am file and generates a count of coverage of each allele [ACGT] at that location (given any filter settings)
Bio Viennangs
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23
A Perl extension and collection of utilities for Next-Generation Sequencing (NGS) data analysis
Bioinf2019
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23
Toggle
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18
Toolbox for generic NGS analyses - A framework to quickly build pipelines and to perform large-scale NGS analysis
Tif
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16
Transposon Insertion Finder - Detection of new TE insertions in NGS data
Garfield Ngs
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16
GARFIELD-NGS: Genomic vARiants FIltering by dEep Learning moDels in NGS
Crispr Dav
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13
CRISPR NGS data analysis and visualization pipeline
Pcap Core
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12
Legacy, see cancerit/PCAP-core: NGS reference implementations and helper code for the IGCG/TCGA Pan-Cancer Analysis Project
Vicaller
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8
A software to detect virome-wide integrations
Innovation Impact Pipeline
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7
Framework to process and call somatic variation from NGS dataset generated using MSK-IMPACT assay
2019genomicsepidemiologyworkshop
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6
2019 Genomics Epidemiology Workshop at Academia Sinica
Pcap Core
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6
NGS reference implementations and helper code for mapping (originally part of ICGC-TCGA-PanCancer)
Ngspipeline
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5
NGS pipeline
Decontaminer
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5
DecontaMiner is a tool designed and developed to investigate the presence of contaminating sequences in unmapped NGS data. It can suggest the presence of contaminating organisms in sequenced samples, that might derive either from laboratory contamination or from their biological source, and in both cases can be considered as worthy of further investigation and experimental validation. The novelty of DecontaMiner is mainly represented by its easy integration with the standard procedures of NGS da
Alienomics
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5
Automated pipeline for HGT and contaminant detection in an assembled, annotated genome
Ephagen
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5
Estimate NGS Dataset qualitity in terms of its ability to detect mutations of predefined spectrum
Npg_qc
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5
QC checks and metrics for Illumina NGS data
Ipsa Nf
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5
Integrative Pipeline for Splicing Analyses (IPSA) in Nextflow
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