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It looks like this set of analysis tools is set up for analyzing paired-end sequencing data. Is it also possible to analyze long read data (ONT, PacBio), which aren't in paired-end format?
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This will be a training on doing data analysis within Snowflake using Python scripts, to avoid having to download the data and doing an analysis locally.
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**Is your feature request related to a problem? Please describe.**
This will provide a detailed analysis of nutritional content, and their cultural significance also.
**Describe the solution you'd…
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### Summary
The feature allows users to mark important data points, trends, or events directly on the chart, providing better context and aiding in data analysis and storytelling. Annotations could i…
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**DO NOT INCLUDE REQUESTS IN THE FIRST COMMENT.**
**PLEASE POST THIS TEMPLATE UNCHANGED THEN FOLLOW ITS INSTRUCTIONS IN A NEW COMMENT**
# General Notes
This repository serves as a mostly automa…
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**DO NOT INCLUDE REQUESTS IN THE FIRST COMMENT.**
**PLEASE POST THIS TEMPLATE UNCHANGED THEN FOLLOW ITS INSTRUCTIONS IN A NEW COMMENT**
# General Notes
This repository serves as a mostly automa…
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A project to perform Pokémon data analysis and legendary classification using the Open Pokémon dataset. Uses advance data analysis techniques and Various machine learning models including neural netwo…
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## Problem
During a test involving 100 nodes, we accumulate approximately 100GB of traced data. Analyzing this data typically requires downloading it locally to perform queries, or selectively fetchi…
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Hello! I am using the scregclust package to analyze regulatory modules in single-cell RNA-seq data from mice, but I encountered an issue. Since scregclust_format defaults to using human-specific lists…
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The current project may not have sufficient unit tests for the data analysis functions, leading to potential bugs and issues that could go unnoticed during development.
Solution:
1.Create unit te…