Sergey Venev (sergpolly)

sergpolly

Geek Repo

Company:University of Massachusetts Medical School

Location:Worcester, MA

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Organizations
dekkerlab
GaleProt
open2c

Sergey Venev's repositories

peaktools

tools for BEDPE-style peaks

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Thermal_adapt_scripts

Scripts to pull and analyze thermal adaptation data for prokaryotes.

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GlycoMadness

assorted scripts and data for Gilmore's lab glyco-project

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bioframe

Pandas utilities for tab-delimited and other genomic data files

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cLIMS-docker

cLIMS repository running on Docker Contaienrs

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clodius

Clodius is a tool for breaking up large data sets into smaller tiles that can subsequently be displayed using an appropriate viewer.

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cooler_dig_not_bug

digging into cooler

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cooloop

experimental/development version of the dot-finder

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cooltools

The tools for your .cool's

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CV

just a CV

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cworld-dekker

perl cworld module and collection of utility/analysis scripts for C data (3C, 4C, 5C, Hi-C)

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DNAscent

Software for detecting regions of BrdU and EdU incorporation in Oxford Nanopore reads.

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docker-pure-ftpd

Docker Pure-ftpd Server

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EMPIRIC-HA

Scripts for analysis of EMPIRIC experiment on the HA signal peptide.

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galeprot

GPU accelerated lattice protein folding

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higlass

Fast large scale matrix visualization for the web.

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micro-image-test

play with image convolution

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model_play

playing with modeling

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negspy

Python NGS Repository

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npcuda-example

Example python (numpy) -- CUDA installable package with a C-extension library

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octopass

🐙 Management linux user and authentication with team or collaborator on Github.

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oe-tileset-example

a small example of on-the-fly observed/expected in HiGlass

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personal-ansible-config

Personal ansible config for setting up workstations/laptops

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puzzle_js_kolya

play around with web (JS/html/css) to make a stupid arithmetic puzzle generator

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random-nextflow-utils

just trying to apply nextflow to some low-level data-management

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randomnotes

just some random notes

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sergpolly.github.io

personal page / blog / lab journal

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test-chunk-hdf5

test different scenarios on writing/reading a big hdf5 using pandas

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