awesome-bioinformatics

Here is a step-by-step guide on how to convey concepts to people not involved in the field when asked the question: 'So, what do you do?'

Dr. Keith Bradnam writes about this "thoughts on biology, genomics, and the ongoing threat to humanity from the bogus use of bioinformatics acroynums."

A critical view of the state of bioinformatics.

This guide is aimed at bioinformaticians, and is meant to guide them towards better career development.

A talk by C. Titus Brown on his take of looking back at bioinformatics from the year 2039. His notes for this talk can be found

Automatic Filtering, Trimming, Error Removing and Quality Control for fastq data. [

Suite of tools to handle gene annotations in any GTF/GFF format. [

An annotation tool for genetic variants, predicting effects on genes, transcripts, and regulatory elements, which allows for custom database integration. [

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A list of pipeline resources.

A generic but comprehensive bacterial annotation pipeline, built with Nextflow, with nice graphical options for investigating results. [

Biocaml aims to be a high-performance user-friendly library for Bioinformatics.

A channel for the

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A plethora of tools for analysis and comprehension of high-throughput genomic data, including 1500+ software packages. [

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Java framework for processing biological data.

Embeddable genome viewer. Integration data from a wide variety of sources, and can load data directly from popular genomics file formats including bigWig, BAM, and VCF. [

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BioJS is a library of over hundred JavaScript components enabling you to visualize and process data using current web technologies. [

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Flexible circular visualization of genome-associated data with BioPerl and SVG. [

Perl package for circular plots, which are well suited for genomic rearrangements. [

A community of bioinformaticians based in Granada, Spain

a Discord server for general bioinformatics

An Austrialian group for bioinformatics students

A community of bioinformaticians centered in Latin America

the official Slack workspace of r/bioinformatics (

Git repo of useful single line commands.

Modular and universal bioinformatics, Bionode provides pipeable UNIX command line tools and JavaScript APIs for bioinformatics analysis workflows. [

Syntax Highlighting for Computational Biology file formats (SAM, VCF, GTF, FASTA, PDB, etc...) in vim/less/gedit/sublime. [

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Utilities for working with CSV/Tab-delimited files. [

Another cross-platform, efficient, practical and pretty CSV/TSV toolkit. [

A single molecule sequence assembler for genomes large and small.

De novo assembler for single molecule sequencing reads using repeat graphs.

A haplotype-resolved assembler for accurate Hifi reads.

UNIX command line tools to access NCBI's databases programmatically. Instructions to install and examples are found in the link.