ncbi refseq transcript annotation Search Results


ncbi refseq transcripts  (Biotechnology Information)
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Biotechnology Information ncbi refseq transcripts
Ncbi Refseq Transcripts, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ncbi refseq annotation release 109.20191205  (Biotechnology Information)
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Biotechnology Information ncbi refseq annotation release 109.20191205
Ncbi Refseq Annotation Release 109.20191205, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ncbi refseq genome annotation  (DOE Systems Biology Knowledgebase)
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DOE Systems Biology Knowledgebase ncbi refseq genome annotation
Overall process of the model reconstruction, refinement, and subsequent analysis/validation. Kbase, <t>NCBI</t> <t>RefSeq,</t> and ModelSEED database were used to reconstruct the initial model. After standard model curations, a high-quality GSM was ready to use. Later, condition-specific transcriptomics data were incorporated with GSM through E-flux algorithm, which resulted in five contextualized models. These models were used to find metabolic bottlenecks and persistence mechanism. K-mean clustering algorithm applied on the transcriptomics data revealed a global stress response mechanism. Thermodynamics and enzyme cost analysis, along with in vitro experimentation, reveal the regulatory role of pgm in CTL persistence.
Ncbi Refseq Genome Annotation, supplied by DOE Systems Biology Knowledgebase, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/ncbi refseq genome annotation/product/DOE Systems Biology Knowledgebase
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ncbi refseq genome annotation - by Bioz Stars, 2026-04
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ncbi annotation release 104 of refseq assembly accession gcf_000002315.6  (Gallus BioPharmaceuticals)
90
Gallus BioPharmaceuticals ncbi annotation release 104 of refseq assembly accession gcf_000002315.6
Overall process of the model reconstruction, refinement, and subsequent analysis/validation. Kbase, <t>NCBI</t> <t>RefSeq,</t> and ModelSEED database were used to reconstruct the initial model. After standard model curations, a high-quality GSM was ready to use. Later, condition-specific transcriptomics data were incorporated with GSM through E-flux algorithm, which resulted in five contextualized models. These models were used to find metabolic bottlenecks and persistence mechanism. K-mean clustering algorithm applied on the transcriptomics data revealed a global stress response mechanism. Thermodynamics and enzyme cost analysis, along with in vitro experimentation, reveal the regulatory role of pgm in CTL persistence.
Ncbi Annotation Release 104 Of Refseq Assembly Accession Gcf 000002315.6, supplied by Gallus BioPharmaceuticals, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/ncbi annotation release 104 of refseq assembly accession gcf_000002315.6/product/Gallus BioPharmaceuticals
Average 90 stars, based on 1 article reviews
ncbi annotation release 104 of refseq assembly accession gcf_000002315.6 - by Bioz Stars, 2026-04
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ncbi refseq annotation release 105  (Biotechnology Information)
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Biotechnology Information ncbi refseq annotation release 105
Overall process of the model reconstruction, refinement, and subsequent analysis/validation. Kbase, <t>NCBI</t> <t>RefSeq,</t> and ModelSEED database were used to reconstruct the initial model. After standard model curations, a high-quality GSM was ready to use. Later, condition-specific transcriptomics data were incorporated with GSM through E-flux algorithm, which resulted in five contextualized models. These models were used to find metabolic bottlenecks and persistence mechanism. K-mean clustering algorithm applied on the transcriptomics data revealed a global stress response mechanism. Thermodynamics and enzyme cost analysis, along with in vitro experimentation, reveal the regulatory role of pgm in CTL persistence.
Ncbi Refseq Annotation Release 105, supplied by Biotechnology Information, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/ncbi refseq annotation release 105/product/Biotechnology Information
Average 90 stars, based on 1 article reviews
ncbi refseq annotation release 105 - by Bioz Stars, 2026-04
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Image Search Results


Overall process of the model reconstruction, refinement, and subsequent analysis/validation. Kbase, NCBI RefSeq, and ModelSEED database were used to reconstruct the initial model. After standard model curations, a high-quality GSM was ready to use. Later, condition-specific transcriptomics data were incorporated with GSM through E-flux algorithm, which resulted in five contextualized models. These models were used to find metabolic bottlenecks and persistence mechanism. K-mean clustering algorithm applied on the transcriptomics data revealed a global stress response mechanism. Thermodynamics and enzyme cost analysis, along with in vitro experimentation, reveal the regulatory role of pgm in CTL persistence.

Journal: mSystems

Article Title: Metabolic model guided CRISPRi identifies a central role for phosphoglycerate mutase in Chlamydia trachomatis persistence

doi: 10.1128/msystems.00717-24

Figure Lengend Snippet: Overall process of the model reconstruction, refinement, and subsequent analysis/validation. Kbase, NCBI RefSeq, and ModelSEED database were used to reconstruct the initial model. After standard model curations, a high-quality GSM was ready to use. Later, condition-specific transcriptomics data were incorporated with GSM through E-flux algorithm, which resulted in five contextualized models. These models were used to find metabolic bottlenecks and persistence mechanism. K-mean clustering algorithm applied on the transcriptomics data revealed a global stress response mechanism. Thermodynamics and enzyme cost analysis, along with in vitro experimentation, reveal the regulatory role of pgm in CTL persistence.

Article Snippet: To analyze the metabolism of CTL in different stress conditions, we reconstructed a GSM of CTL using the NCBI RefSeq genome annotation (KBase Genome ID: GCF_000068585.1) from KBase ( ).

Techniques: Biomarker Discovery, In Vitro