🧰 Featured Tool: Cumulus
Cumulus helps researchers tackle one of single-cell genomics' biggest challenges: analyzing datasets too large for a laptop. It's a cloud-based framework for large-scale scRNA-seq and [...]
Cumulus helps researchers tackle one of single-cell genomics' biggest challenges: analyzing datasets too large for a laptop. It's a cloud-based framework for large-scale scRNA-seq and [...]
Tumors aren't genetically uniform, and which clones survive and why they survive has direct bearing on treatment resistance. LinG3D adds spatial context to lineage tracing. [...]
A new single-cell RNA-sequencing dataset provides in-depth profiling of estrogen receptor (ER)-positive primary and metastatic breast cancer tumors from 23 patients, offering insight into [...]
Created and maintained by Cameron Davidson-Pilon, lifelines helps researchers answer “how long until something happens?” — whether that’s patient outcomes in cancer studies, subscriber [...]
We’re excited to share the dataset “Impact of Post-Lysis Stopping Point Prior to Reverse Transcription,” generated using the newly developed particle-templated instant partition sequencing [...]
I am a recent PhD graduate from MIT's Department of Chemical Engineering, where I worked in the Blankschtein/Langer Labs on using low-frequency ultrasound [...]
AMICI (Advanced Multilanguage Interface for CVODES and IDAS) is a high-performance Python and C++ interface for solving large-scale ordinary and algebraic differential equation models. It provides [...]
The Image Analysis Special Interest Group has sunset after seven years. BIG THANK YOU to our Outgoing Image Analysis Special Interest Group Chairs - Clarence [...]
phangorn is an R package for phylogenetic reconstruction and analysis. It supports Maximum Likelihood, Maximum Parsimony, distance-based methods, and Hadamard conjugation, enabling researchers to [...]
From its launch, the Data Manager Operations Group has been led by Aditi Gopalan, Bioinformatics Engineer in the MC2 Center Team. We are so excited [...]