List of Computer Science courses with video lectures.
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Updated
May 16, 2022
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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.
See https://github.com/biopython/biopython/blob/master/Bio/SeqFeature.py and __add__, need to do the same specifically for integer offsets.
Workaround feature + (-5) instead of feature - 5, see https://twitter.com/tomeraltman/status/1473764959347638273
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
A curated list of awesome Bioinformatics libraries and software.
A DSL for data-driven computational pipelines
Conda recipes for the bioconda channel.
An ultra-fast all-in-one FASTQ preprocessor (QC/adapters/trimming/filtering/splitting/merging...)
A versatile pairwise aligner for genomic and spliced nucleotide sequences
In pl.pca_loagings(), there should be an option to limit the number of points plotted (basically n_points from ranking)
Why: I recently used the AnnData/scanpy suite to perform some analysis on a low number of genes (less than 30, amplified by qRT-PCR).
As the number of features is less than 30 (30 being the default value for n_points in ranking(adata,*args,**kwargs), the loadings appear twice
Burrow-Wheeler Aligner for short-read alignment (see minimap2 for long-read alignment)
A full spaCy pipeline and models for scientific/biomedical documents.
Toolkit for processing sequences in FASTA/Q formats
Data intensive science for everyone.
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
A cross-platform and ultrafast toolkit for FASTA/Q file manipulation in Golang
A plotly.js React component from Plotly
Scientific workflow engine designed for simplicity & scalability. Trivially transition between one off use cases to massive scale production environments
Unix, R and python tools for genomics and data science
A cross-platform, efficient and practical CSV/TSV toolkit in Golang
Python and C++ code for reading and writing genomics data.
MMseqs2: ultra fast and sensitive search and clustering suite
In-memory nucleotide sequence k-mer counting, filtering, graph traversal and more
Scripts to download genomes from the NCBI FTP servers
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