Resources
A selection of tools/videos/articles that I have found useful at various points in time. I will continue to update as I find more tools!
A personal mind-map for areas of research I am interested in, and a place for me to casually write about science across disciplines. Leave a comment if you find something useful!
General Toolkit
I use this frequently to find the rough date of the the last common ancestor (LCA, relative to humans) of organisms I am learning about.
Awesome tool for generating publication quality phylogenetic trees.
https://reporter.nih.gov/advanced-search
Looking for jobs in academic labs? Might want to check their funding situation first!
https://www.payscale.com/cost-of-living-calculator
Moving to a new city on a tech, grad student, or postdoc salary? Might want to check how far your cash will take you.
Behavioral Analysis Toolkit
My go-to GPU-based tracking software. I much prefer this interface over DLC due to it's human in the loop training features, fast training times with loss-plateu cut-offs, and easy to use skeleton drawing features. Love this software!
https://goldenneurolab.com/simba
From Simon Nilsson and Sam Golden's Lab at UW, this software is another go-to for me for analyzing SLEAP and DLC output data files for movement dynamics, time spent in ROIs, and supervised and unsupervised behavioral classifiers.
https://janclemenslab.org/das/index.html
A truly remarkable piece of software for segmenting out mouse ultrasonic vocalizations (or really, any "sound") from audio data. Deep neural network based approach, with a lightweight and fairly easy to learn GUI. Python based, and so open-source. Replaced DeepSqueak for my analysis.
https://github.com/DeepLabCut/DeepLabCut
Not my go-to, but still a solid piece of software that is used broadly by the neuroscience and behavior community. It changed the game when it came out!
https://sourceforge.net/projects/toxtrac/
A stand-alone CPU-based multi-animal tracking software with a relatively simple GUI and ROI analysis capability. Best for videos of a single animal with a simple background or of low numbers of animals with no occlusions. Great for simple behavior tracking projects for undergrads who want to track short videos on their laptops (also pretty good in a classroom setting).
https://idtrackerai.readthedocs.io/en/latest/
An older machine learning based tracker. The first I ever used!
https://github.com/swarm-lab/trackR
An R-based 'classical' tracking program using OpenCV. Great for simple projects and for those new to programming/software generally.
https://github.com/DrCoffey/DeepSqueak
My previous go-to for USV detection analysis in mice. Feature rich, but purely MATLAB-based.
Neuroscience Toolkit
Comparative brain anatomy across a variety of taxa with downloadable images, stains, slices, etc.
http://labs.gaidi.ca/mouse-brain-atlas/
Big shout out to Dr. Matt Gaidica for putting this out in the world. I use it all the time to check my stereotaxic surgery targeting.
https://ebrains.eu/services/atlases/
EU based brain atlases and other services. Nice 3D models here and GUI, especially if you check out via the siibra-explorer.
Allen Institute Brain Atlas, 3D and coronal slices available.
https://observatory.brain-map.org/visualcoding/
Allen Institute Brain Observatory data
http://braininfo.rprc.washington.edu/Default.aspx
Nice site for quickly referencing unfamiliar brain regions. A bit outdated, but still useful! Links to the Allen toolkits for data. In some ways the GUI is more intuitive than the Allen interface!
Mouse Connectome Project from Larry Swanson's group at USC (and others).
https://sites.google.com/view/the-neurome-project/home
The Neurome Project from Larry Swanson
https://mouselight.janelia.org/
From the folks at Janelia, you can use this to see the morphology of entire neurons across a 3D model of the brain.
From Janelia, drosophila connectomics explorer. Can also look at electron microscopy data.
What can we learn about the Deep homology between vertebrates and invertebrates.
Define cell types by connectivity, and neurotransmiters and other features. All trained via machine vision. Born from major research collaboration with google (and others)
NIH Brain Initiative Cell Census Network imaging and genomic data sets.
From the folks at DeepMind, great tool for checking the structure of proteins of interest.
AI Toolkit
Fantastic tool for asking questions about what is known within a given research area and finding relevant literature.
Simply an invaluable tool for coding/programming.
I typically use ChatGPT directly, but I have found this occasionally useful.
OpenAI's DALL-E. I have used to create various images and cartoons for talks, quite helpful, although there are other competitors out there (i.e. Midjourney and a host of AI-"art" apps).
https://microscope.openai.com/models
For visualizing neural network models/layers.
PI Level Funding
Postdoc Level Funding (early stage, apply before or during ~first year)
General list servs tracking postdoc fellowships
NSF PRFB Postdoctoral Research Fellowships in Biology (PRFB)
One can apply up to 15 months after graduation. The PRFB, more so than other fellowships, typically is funding a particular project as opposed to a person, so the aims of the fellowship should be “completed” even if one were to transfer the fellowship to a new institution.
James Coffin Childs Memorial Fund for Medical Research Postdoctoral Fellowship
Army Research Laboratory Distinguished Postdoctoral Fellowship
Klingenstein-simons Postdoctoral Fellowship award in neuroscience
Alfred P. Sloan Research Fellowship
DFG Post-Doc Fellowship (Germany)
Grass Foundation Rising Stars Award
The Branco Weiss Fellowship – Society in Science
EMBO Postdoctoral Fellowship
NSF Biodiversity Postdoctoral Fellowship
Rita Levi-Montalcini Postdoctoral Fellowship
Cornell Presidents Fellowship
Postdoc Level Funding (late stage, pathway to independence)
PhD Level Funding
NSF GRFP
NDSEG
Undergraduate Level Funding
Shadow CV and Shadow Science
We are all beset by failures and setbacks at various points in our careers. Seeing others share their own setbacks publicly was at times very helpful to me. I am working on my own shadow CV and will post it here (eventually)! For now, here are some links to other Shadow CVs.
https://ubadahsabbagh.com/shadow-cv.html
Dr. Sabbagh's blog post on the topic, and my inspiration for making one of my own.
https://voyteklab.com/assets/pdfs/members/voytek_cv.pdf
Scroll all the way down for this one.
https://haushofer.ne.su.se/Johannes_Haushofer_CV_of_Failures.pdf
Drafting, revising and editing your thesis (and research)
Although geared towards academic writing, the writing tips in this vlog can be effectively applied towards any style and offer a practical guide towards approaching your writing with a strategic mindset.
Writing from A to B: A Guide to Completing the Disseration Phase of Doctoral Studies by Keith Hjortshoj
Click on the image to download the PDF (hosted by Cornell). Chock full of excellent writing advice with practical tips on how to shed the strategies of the "student/binge" writer and adopt the strategies of the "professional/regular" writer.