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Bioinformatics
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Bioinformatics is an interdisciplinary field that intersects with biology, computer science, mathematics and statistics. It concerns itself with the development and use of methods and software tools for collecting and analyzing biological data.
List of Computer Science courses with video lectures.
Data Apps & Dashboards for Python. No JavaScript Required.
Official git repository for Biopython (originally converted from CVS)
A curated list of awesome Bioinformatics libraries and software.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
A DSL for data-driven computational pipelines
Making Protein folding accessible to all!
Single-cell analysis in Python. Scales to >100M cells.
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
A versatile pairwise aligner for genomic and spliced nucleotide sequences
A full spaCy pipeline and models for scientific/biomedical documents.
Official code repository for GATK versions 4 and up
MMseqs2: ultra fast and sensitive search and clustering suite
Conda recipes for the bioconda channel.
Burrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)
Data intensive science for everyone.
Toolkit for processing sequences in FASTA/Q formats
A cross-platform and ultrafast toolkit for FASTA/Q file manipulation
Aggregate results from bioinformatics analyses across many samples into a single report.