Impact of Genomic Variation on Function
@igvfconsortium.bsky.social
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igvfconsortium.bsky.social
#ASHG2025 kicks off next week!

Keep an eye out for IGVF presentations and posters throughout the meeting.

See you in Boston!
igvfconsortium.bsky.social
ASHG 2025 is coming up! 🎉

Keep an eye out for IGVF talks and posters throughout the meeting.

We'll see you in Boston!
igvfconsortium.bsky.social
The IGVF Consortium began with one mission: to understand how genomic variation shapes genome function and influences health. Together, we’re building lasting resources for the research community.

igvf.org
igvfconsortium.bsky.social
IGVF uses state-of-the-art experimental and computational approaches to model, predict, characterize, and map genome function.

Together, these efforts are building a catalog that reveals how genomic variation influences genome function and phenotypes.
igvfconsortium.bsky.social
Deadline extended! 🏁

The submission deadlines for TCS2 and ATP7B in CAGI7 are now September 15.

A big thanks to our collaborators in the Fowler and Roth groups for their leadership on this effort.

genomeinterpretation.org/cagi7-challe...
CAGI7 Challenge
genomeinterpretation.org
igvfconsortium.bsky.social
Scanpy is a scalable Python toolkit for analyzing single-cell gene expression data. From preprocessing & visualization to clustering, trajectory inference, and differential expression testing, Scanpy can handle datasets with over 1M cells.

Learn more & access the tool:
github.com/scverse/scanpy
GitHub - scverse/scanpy: Single-cell analysis in Python. Scales to >100M cells.
Single-cell analysis in Python. Scales to >100M cells. - scverse/scanpy
github.com
igvfconsortium.bsky.social
See how IGVF comes together 🧩

Our High-Level Consortium Map highlights the experiments, teams & technologies driving discovery on how genomic variation impacts function.

Explore the map: igvf.org/high-level-c...
IGVF High-level Consortium Map
IGVF High-level Consortium Map
igvf.org
igvfconsortium.bsky.social
MPRAnalyze offers a powerful statistical framework for Massively Parallel Reporter Assays (MPRAs) to study enhancer activity.

From quantifying activity to comparing across conditions, it helps researchers uncover how enhancers drive gene regulation.

bioconductor.org/packages/rel...
MPRAnalyze
MPRAnalyze provides statistical framework for the analysis of data generated by Massively Parallel Reporter Assays (MPRAs), used to directly measure enhancer activity. MPRAnalyze can be used for quant...
bioconductor.org
igvfconsortium.bsky.social
The IGVF Data Portal serves as the central hub for research data from the consortium, encompassing raw sequences, analyzed effects, software, and predictive models.

Explore how genomic variation impacts function and phenotype.

data.igvf.org
IGVF
Portal for the Impact of Genomic Variation on Function consortium
data.igvf.org
igvfconsortium.bsky.social
🔍 scE2G is a computational pipeline for predicting genome-wide enhancer–gene regulatory links using single-cell ATAC-seq or paired ATAC + RNA-seq (multiome) data.

Learn more & access the tool here: github.com/EngreitzLab/...
GitHub - EngreitzLab/scE2G: Pipeline to run scE2G
Pipeline to run scE2G. Contribute to EngreitzLab/scE2G development by creating an account on GitHub.
github.com
igvfconsortium.bsky.social
IGVF is bringing together discoveries from across the network into a lasting, openly available catalog of how genomic variants influence genome function and phenotypes.

A resource that will continue to power future research. Explore our goals and the impact ahead: igvf.org
Impact of Genomic Variation on Function (IGVF) Consortium
IGVF, Impact of Genomic Variation on Function, IGVF Consortium, Understanding how genomic variation affects genome function to influence phenotypes
igvf.org
igvfconsortium.bsky.social
Using the SEUSS Perturb-seq method, researchers mapped 115 RUNX1 mutations in leukemia cells, revealing wild-type-like, loss-of-function, and hypomorphic types.

Uncover the science behind it:
pmc.ncbi.nlm.nih.gov/articles/PMC...
pmc.ncbi.nlm.nih.gov
igvfconsortium.bsky.social
Thousands of genomic variants are linked to disease, but how do they actually function?

IGVF is building a catalog of experimental and computational insights to uncover the impact of variants.

🔎 We’re on the case: igvf.org
igvfconsortium.bsky.social
Process 30M reads in minutes with high performance and efficiency.

Kallisto is a fast, accurate tool for quantifying transcript abundances from RNA-seq data using pseudoalignment; no full alignment needed.

Explore it here: github.com/pachterlab/k...
GitHub - pachterlab/kallisto: Near-optimal RNA-Seq quantification
Near-optimal RNA-Seq quantification. Contribute to pachterlab/kallisto development by creating an account on GitHub.
github.com
igvfconsortium.bsky.social
Part of the IGVF single-cell analysis workflow - the IGVF-chromap tool offers a command-line interface for indexing and aligning single-cell ATAC-seq data using the Chromap pipeline.

Explore the tool: github.com/IGVF/atomic-...
atomic-workflows/modules/igvf-chromap at main · IGVF/atomic-workflows
Workflows for pre-processing sequencing data from sequence census assays - IGVF/atomic-workflows
github.com
igvfconsortium.bsky.social
🎉 Big milestone for our sister consortium, SMaHT!

Congrats on the paper in Nature, this is a huge step in mapping somatic variation!
smahtnetwrk.bsky.social
The SMaHT marker paper is now live in @nature.com 🧬

This landmark study characterizes somatic variation across 19 tissue types from 150 nondiseased donors, laying the groundwork for future discoveries in health, aging, and disease.

Read the full paper: www.nature.com/articles/s41...
igvfconsortium.bsky.social
IGVF is uncovering how genomic variation impacts genome function and phenotype through mapping, modeling, and resource generation to advance research across the community.

Learn more: igvf.org