Name: Ben Sutherland
Type: User
Company: Sutherland Bioinformatics
Bio: genetics, genomics, gene expression, bioinformatics, open science
Twitter: bsuther7
Location: Lantzville, British Columbia
Blog: www.benjgsutherland.com
Ben Sutherland's Projects
Code required to collect data and analyze the high density S. fontinalis genetic map project.
Associated code for analysis of 2017 manuscript immunostim
Target repository for panels designed and compatible with amplitools
Tools for working with amplicon sequencing data
Assess the results of a genome assembly through various metrics (e.g. N50, total length, BUSCO)
Collect and format Coregonus genetic map input data for MapComp analysis
Pipeline to analyze eDNA metabarcoding samples (PE and SE, demultiplexed, multiplexed)
A pipeline to conduct phylogenetics and functional transcriptomics on environmental DNA and RNA
Extract a section of a reference genome flanking an input locus with SNPs.
Used to map trimmed reads against a genome, subset for those mapping to specific contig/scaffold and prepare for assembly
demo repo
to quality trim, bin by MP/PE/Unkn, align to ref, estimate insert size.
Repository to accompany population genetics analysis of harbour seal manuscript.
Repository for code to support the manuscript to design a Pacific oyster amplicon panel
Analysis of the Moore oyster project, Population Genomics
A repository to accompany the analysis of the northern pike popgun study
Repository to accompany scallop population genomics
Genotyping from nanopore data
used as a pipeline to quality trim, then collapse overlapping reads (e.g. paired-end where insert size is less than the length of R1 + R2)
Whole-genome bioinformatic pipeline for pooled or individual-based NGS data using bash and R
Perform MapComp iteratively to attach anonymous Arctic Charr markers onto the Arctic Charr genetic map.
A Poem for the Weekend
Various scripts
Code associated with the sex chromosome, heterochiasmy and phenotypic QTL manuscript
Analysis of Brook Charr and Arctic Charr gene co-expression networks
A short analysis of population statistics given specific inputs
From raw illumina reads data to counts
Associated code for analysis of SING 2018 genetic data