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biopython
1. Parsing: Import the desired part from information such as FASTA, FASTQ, GenBank, KEGG, etc.2. Handle the sequence information that was parsed as string and character3. Information on the web such as NCBI, ExPASy, etc. can be imported, so information processing is easy.4. BLAST, sequence alignment, etc. can be analyzed.
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drug targets
What is medicine?1-1 Definition of DrugsSubstances that enter in vivo and have biological effectsex) Caffeine, nicotine, alcohol can also be a medicineIt should be borne in mind that there are differences in effects for each substance.It can be poisonous when used at high doses for a long time.1-2 Good DrugDrugs exhibiting desired activity and free from toxicity and side effectsSince drugs have ..
2024.11.27 -
python libraries
Anaconda: Used for utilizing Python virtual environments. It is not limited to bioinformatics but is useful in many cases of data science. It is possible to create a virtual environment and manage the version of each package in that environment. Below are conda channels useful for bioinformatics.- bioconda- conda-forgepandas, numpy: useful for storing and processing data in the form of Excel-lik..
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scRNA-seq Raw Data Preprocessing: scRNA-seq quality control
The QC report summarizes the passage, failure, warning, etc. for each item.Basic statisticsBasic statistics contain basic statistical information such as file format, encoding, sequence number, number of poor quality flags in FASTQ, sequence length, and GC ratio.For good data, poor quality sequences are small, uniform sequence length is shown,The overall GC content of the analyzed organism shoul..
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drug reaction IC50, EC50, GI50, LD50
There are four ways to quantify drug responses.1. IC50: Half maximal inhibitory concentration2. EC50: Half maximal effective concentration3. GI50: Half maximal growth inhibition concentration4. LD50: Lethal dose 50All four refer to the concentration of a drug that satisfies certain conditions, and the conditions have different meanings. Some view IC50 and GI50 as the same thing, so let's look at..
2024.11.27 -
R packages
Key packages and functionsGene expression analysis:DESeq2: Differential expression analysis of RNA-Seq data.EdgeR: Differential gene expression analysis.Gene sequencing:Biostrings: manipulation and analysis of DNA, RNA, and protein sequence data.ShortRead: Next Generation Sequencing (NGS) Data Analysis.Functional interpretation:ClusterProfiler: Gene Ontology (GO) and Pathway Analysis.TopGO: Anal..
2024.11.27