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Data processing and data analysis used for Hackflex performance testing

Manuscript: Hackflex: low cost Illumina sequencing library construction for high sample counts

Scripts for data processing, to be run in order:

001_library_processing.sh

filtering and trimming reads; reducing sizes of libraries to obtain equal size libraries

002_library_mapping.sh

mapping of reads against reference genome; removal of PCR duplicates; fragment size obtainment

003_library_alfred.sh

obtainment of quality stats (GC bias, coverage, read length, etc)

Scripts for the data analysis: (needs updating)

R version info: (needs updating)

platform: x86_64-apple-darwin15.6.0
status:
major: 3
minor: 6.1
year: 2019
month: 07
day: 05
svn rev: 76782
language: R
version.string: R version 3.6.1 (2019-07-05)
nickname: Action of the Toes

List of packages: (needs updating)

readr , readxl , data.table , tibble (v2.1.3) , openxlsx , splitstackshape , tidyr , tidyverse , dplyr , plyr (v1.$

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Analysis of Hackflex (Illumina library prep at a reduced cost) performance

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