Paras Verma, Ph. D Profile
Paras Verma, Ph. D

@parasvcb

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212
Following
2K
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655

Computational Biologist, Research fellow at IISER Mohali

Joined May 2012
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@stevenyuyy
Steven Yu
1 month
Glad you like it! It's the nano-protein-viewer that I built over the summer Really need to work on marketing lol
@DdelAlamo
Diego del Alamo
1 month
@stevenyuyy Whoa what plugin is this? So much prettier than protein viewer
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@thepostdoctoral
The Postdoctoral
3 months
RUNX1C isoform identified as driver of chemoresistance in acute myeloid leukemia - ... a way to potentially disarm it. In findings newly published in Blood Cancer Discovery, a team led by JAX assistant professor Eric Wang reports onΒ ... -
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news-medical.net
One of the biggest challenges in cancer treatment is that certain cancers reappear after chemotherapy-and an aggressive type of blood cancer called acute myeloid leukemia (AML) is notorious for this.
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@swatisingh2511
Swati Singh
4 months
Thank You @biopatrika for featuring my work! Grateful to @ChabaRachna!
@biopatrika
Biopatrika
4 months
#authorinterview Dr. Swati Singh @swatisingh2511 working with Prof Rachna Chaba @ChabaRachna at IISER Mohali @IiserMohali talks about her work on "Decoding the impact of genetic variations in DgoR on D-galactonate metabolism" @JBacteriology @ASMicrobiology https://t.co/d64iaWSGcZ
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@AnjaliRana03
Anjali Rana
5 months
Happy to share our latest publication in Scientific Data @ScientificData on genome assembly and annotation of Nasonia oneida, the youngest species in the jewel wasp complex. @IiserMohali @DBS_IISERM https://t.co/YwoWBWCafD
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nature.com
Scientific Data - Genome assembly and annotation of the parasitoid jewel wasp Nasonia oneida
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@saezlab
Saez-Rodriguez Group
5 months
Postdoc position in our group at @emblebi , analyzing single cell data to better understand and treat neurodegen diseases, collab with @AndrewBassett43 , @mo_lotfollahi, @bayraktar_lab M Strauss and others @OpenTargets . Deadline 20/07. Please shareπŸ™:
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@incaRNAtolab
Danny IncaRNAto
6 months
This is absolutely terrible. The benefits that those tools have brought to the scientific community are incommensurable.
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@isidrolauscher
Isidro Cortes-Ciriano
6 months
Thrilled to see #SAVANA out in @naturemethodsπŸ₯³ SAVANA detects haplotype-resolved somatic SVs and copy number aberrations (SCNAs) and infers tumour purity & ploidy in clinical samples using long-read sequencing with or WITHOUT a matched germline control πŸ‘‡ https://t.co/AdZhqHUsDb
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nature.com
Nature Methods - SAVANA is a tool to detect somatic structural variants and copy number aberrations using long-read sequencing data, offering high sensitivity, specificity and compatibility with or...
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@BiologyAIDaily
Biology+AI Daily
6 months
Deep-learning-based single-domain and multidomain protein structure prediction with D-I-TASSER @NatureBiotech οΌ‘οΌŽD-I-TASSER is a hybrid deep-learning and physics-based pipeline that outperforms AlphaFold2 and AlphaFold3 in both single-domain and multidomain protein structure
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@tangming2005
Ming "Tommy" Tang
6 months
🧡 You filtered your VCF. But the output broke your pipeline. Why? You didn’t keep the header. Let's fix that.
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@NatRevMCB
Nature Reviews Molecular Cell Biology
6 months
New Online! Uncovering mRNA sequences that control translation initiation https://t.co/nfH6licvtD
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@EMBLAustralia
EMBL Australia
6 months
πŸ’ͺ What if we could map muscle repair pixel by pixel? πŸ”¬ Our group leader Dr @Wi_Roman (@ARMI_Labs) built a low-cost spatial transcriptomics platform to do just that - revealing how muscles heal, grow & communicate. It's reshaping regenerative medicine. https://t.co/jZ3jMEosA6
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emblaustralia.org
Dr William Roman, an EMBL Australia & Baker Foundation group leader at the Australian Regenerative Medicine Institute (ARMI), is reimagining the future of muscle repair – one pixel and protein at a...
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@parasvcb
Paras Verma, Ph. D
6 months
14/14 πŸ“’ We welcome feedback, queries, and collaborations! Tag us or email to explore how ENACTdb can support your work. πŸ“„ Method paper: https://t.co/1v48SjPflm πŸ“„ DB paper: https://t.co/5rKVv1Nkv9 #AlternativeSplicing #Transcriptomics #Bioinformatics #Proteomics
academic.oup.com
AbstractMotivation. Gene transcripts are distinguished by the composition of their exons, and this different exon composition may contribute to advancing p
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@parasvcb
Paras Verma, Ph. D
6 months
13πŸ™ Acknowledgments Thanks to my supervisor Dr. Shashi Pandit ( https://t.co/aO2jgJIJnB) for his constant mentorship. Also grateful to co-authors @Deeeksha_Thakur & @Deepanshi_awast for building the algorithm, DB, and analysis! Supported by @DBTIndia & @IiserMohali #TeamScience
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@parasvcb
Paras Verma, Ph. D
6 months
12/14 πŸ’» Try ENACTdb now and find functional insights like: β€’ Polymorphic attributes of exons β€’ Mapping exonic variation to protein domains β€’ Detecting how splicing reshapes protein features β€’ Identifying indels/substitutions from exon changes. πŸ”—
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@parasvcb
Paras Verma, Ph. D
6 months
11/14 🧩 Why use ENACT/ENACTdb? β€’ Explore how splicing/transcriptional choices diversify the proteome β€’ Understand how splicing architecture impacts local/global protein changes β€’ Functional genomics, disease variant interpretation, evolution studies
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@parasvcb
Paras Verma, Ph. D
6 months
10/14 🌐 ENACTdb: Data for the community and features! We annotated genes across 5 model organisms (human, mouse, zebrafish, fly, worm). ENACTdb enables: β€’ Gene-based search (name or Entrez ID) β€’ Exon-to-protein feature mapping (Pfam, structure, disorder) β€’ Isoform comparison
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