Jesse G. Meyer's repositories

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DI2A

Python and R code for peptide identification and quantification from direct infusion data-independent acquisition mass spectrometry data.

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drug-class

comparing drug classification methods

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fastai-v3

Starter app for fastai v3 model deployment on Render

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pRoteomics

useful functions for analysis of proteomic data

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PIQEDia

PTM Identification and Quantification Engine from DIA

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LINCS-general

start working with LINCS transcriptomic data

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leafcutter

Annotation-free quantification of RNA splicing. Yang I. Li, David A. Knowles, Jack Humphrey, Alvaro N. Barbeira, Scott P. Dickinson, Hae Kyung Im, Jonathan K. Pritchard

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deeplearning

playing with deep learning in R

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steem

The blockchain for Smart Media Tokens (SMTs) and decentralized applications.

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parseR

parseR: Pipeline for rna-seq analysis in R

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runME2

test

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DIAumpire_wiff2signalExtraction

python stuff automating the processing going from .wiff file through the signal extraction module

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MSGFplus

An MSGF+ interface for R

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MSGFgui

A gui overlay and extension for MSGFplus

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SUMO-remnant

Collection of files and R scripts analysis of SUMO-remnant MS data

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ProteomeDigestSim

A collection of R classes to allow prediction of proteome coverage based on digestion, specifically iterative digestion by MED-FASP

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new

for

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PyCryptsy

Python binding to the Cryptsy API

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PepsuM

a package in [R] for MS-based proteomics data quality control and summary. So far, the package uses two main classes, "proteome" and "pepsum" for containing and working on the proteome sequences and the database search output, respectively. Most of the functions for class pepsum objects are focused on summarizing output from either MS-GFDB or Protein Prospector, but some flexibility exists and eventually I hope the code will be more flexible.

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