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TrendCatcher

imported

software/trendcatcher

TrendCatcher is an open source R-package that allows users to systematically analyze and visualize time course data. Please cite "Temporal transcriptomic analysis using TrendCatcher identifies early…

Machine-generated from the listed sources and not yet reviewed by a human.

TrendCatcher project image
GitHub preview card for jaleesr/TrendCatcher. Served by its origin, not stored here, and not covered by this registry’s licence.
record
Category
Software & Systems
Subcategory
unknown
License
Apache-2.0(osi)
Status
maintained
Maturity
deployed
Organization
unknown
Country
unknown
Homepage
unknown
Repository
github.com/jaleesr/TrendCatcher
Documentation
unknown
Tags
r · rna-seq · single-cell · temporal-data · transcriptome · transcriptomics · visualization
Regulatory
unknown
similar by tags

Computed from shared tags, weighted so a rare tag counts for more than a common one. These are suggestions, not curated relationships.

  • LR-splitpiperna-seq · single-cell · transcriptome

    Demultiplexing and debarcoding tool designed for LR-Split-seq data.

  • scCATCHrna-seq · single-cell · transcriptome

    Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

  • mavistranscriptome · visualization

    Merging, Annotation, Validation, and Illustration of Structural variants

  • RATTLErna-seq · transcriptome

    Reference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing

  • ASAPrna-seq · single-cell · transcriptomics · visualization

    ASAP : Automated Single-cell Analysis Pipeline

  • DISCsingle-cell · transcriptome

    A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.

sources
  1. api.github.com/repos/jaleesr/TrendCatcher
    retrieved 2026-08-25 · via github-api

    Machine-imported from GitHub search. Last push 2025-05-20, 19 stars, license reported as Apache-2.0. Category and schematic were assigned by keyword heuristics and are unreviewed.

Not yet verified by a human. Correct this record →

machine-readable

/v1/entries/44.json→ .entries["trendcatcher"]

Entries are sharded 64 ways by a stable hash of the id, so a consumer can find any record without an index.