Mohd Murshad Ahmed

Mohd Murshad Ahmed

@murshadahmed

I am a Postdoctoral Fellow at Albert Einstein College of Medicine, New York, USA. My area of expertise is scRNA/snRNA analysis.

AECOM Bronx
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Language Breakdown

Lines of code distribution across 13 owned repositories

55K Total LOC
Python
49,078 lines
89.5%
N/A
Shell
5,685 lines
10.4%
N/A
Procfile
76 lines
0.1%
N/A
DIGITAL Command Language
1 lines
0.0%
N/A
I

I-Shaped Developer

I-shaped

Specialist — deep expertise in Python

Python
Shell
Procfile
DIGITAL Command Language

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Mohd Murshad Ahmed
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Repos

13

PRs

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Growth

+18%

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Coding Streak

Contribution activity over the past year

1 day
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Top Repositories

Bioinfoconnects

One platform for bioinformaticians, computational biologists, and omics researchers worldwide. Discover jobs, share discoveries, and accelerate science together.

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DIGITAL Command Language
bic-newsletter

new updates related to bioinformatics

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Python
omicsjobai-bot

Jobs notification platform for Bioinformaticians

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Python
Intronic-polyadenylation-detection-IPA-

Alternative polyadenylation can occur in introns, termed intronic polyadenylation (IPA), has been implicated in diverse biological processes and diseases, as it can produce noncoding transcripts or transcripts with truncated coding regions

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SWAN-Transcript-visualization

The visualization of full-length transcripts, especially when there are many isoforms per gene, can be a challenge.Swan is a long-read visualization tool that can plot expression or percent isoform values of each transcript in a gene alongside the transcript’s actual model. It also performs statistical tests to find isoform-switching genes.

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Fusion-transcript-discovery

pbfusion is a breakpoint-centric fusion gene caller. It uses mapped Iso-Seq reads and reference gene annotations to identify transcript breakpoints between genes and also provides visualization scripts.

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BUSCO-Analysis

BUSCO (Benchmarking Universal Single-Copy Orthologs) analysis evaluates genome assembly and annotation completeness by identifying highly conserved, single-copy genes across specific lineages. It classifies genes as Complete (Single or Duplicated), Fragmented, or Missing to quantify quality, providing a standard for assessing genomic data

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Isoform-Quantification

Iso-Seq reads ↓ Isoform detection ↓ SQANTI3 annotation ↓ Isoform quantification ↓ Expression matrix ↓ Isoform → gene mapping ↓ Isoform usage calculation ↓ Isoform switching analysis ↓ Top switching genes (Rgs8, Bhmt2, Myh9, ...)

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Shell
long-reads-annotation-using-SQANTI3

we use SQANTI3 for annotation

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Shell
RNA-Bloom2-Analysis-

RNA-Bloom2 Analysis using the brain data of Degus. Denovo Assembly code

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Shell

Open Source Impact

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