Author

Ali Haisam Muhammad Rafid

Bangladesh University of Engineering and TechnologyORCID 0000-0003-4368-3633Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 2

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:deep learning· 1 Approach:machine learning (classical)· 1 Research Focus:variant calling· 1 Research Focus:variant effect prediction· 1 Organism:virus· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

M. Sohel RahmaniD· 2 shared Md. ToufikuzzamaniD· 2 shared Arpita SahaiD· 1 shared Mohammad Saifur RahmaniD· 1 shared Naser Anjum· 1 shared Sadia TasnimiD· 1 shared Shashata SawmyaiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

7 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

2 shared papersBioinformatics

M. Sohel RahmanORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintJun 3, 2020

Analyzing hCov Genome Sequences: Predicting Virulence and Mutation

Shashata Sawmya, Arpita Saha, Sadia Tasnim…·M. Sohel Rahman

The paper develops a pipeline to classify SARS-CoV-2 genome sequences for virulence and predict mutations using deep learning.

9 citations

viruswhole-genome sequencing

𝕏 PostBluesky

BioinformaticsbioRxivPreprintMay 30, 2019

CRISPRpred(SEQ): a sequence based tool for sgRNA on target activity prediction

Ali Haisam Muhammad Rafid, Md. Toufikuzzaman, M. Sohel Rahman

CRISPRpred(SEQ) is a sequence-based tool that outperforms DeepCRISPR in predicting sgRNA on-target activity for three out of four cell lines using traditional machine learning.

1 citation

machine learning (classical)variant effect prediction

𝕏 PostBluesky