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New Resources for 1000 Genomes
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35 responses
105,501 views
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by Guest
12-05-2013, 02:37 AM
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Closed, Sticky:
Software packages for next gen sequence analysis
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236 responses
673,507 views
1 like
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by ECO
12-25-2009, 06:45 PM
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6 responses
2,175 views
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by fubar
10-09-2012, 03:18 PM
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7 responses
2,816 views
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by Endiel
10-09-2012, 12:15 PM
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7 responses
22,528 views
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by xApple
10-09-2012, 09:15 AM
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1,408 views
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by sudarynja3
10-09-2012, 08:49 AM
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1 response
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by dkoboldt
10-09-2012, 08:40 AM
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1,250 views
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by LP_SEP23
10-09-2012, 07:07 AM
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3 responses
2,011 views
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by Joann
10-09-2012, 06:52 AM
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2 responses
1,391 views
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by krobison
10-09-2012, 06:28 AM
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1,429 views
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by Philcolson
10-09-2012, 05:38 AM
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1 response
1,704 views
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10-09-2012, 05:18 AM
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Join us on July 9th, 2024 at 10 a.m. PT | 1 p.m. ET | 7 p.m. CEST for an insightful webinar on the cutting-edge applications of single-cell genomics in...05-22-2024, 02:47 PM
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The complexity of cancer is clearly demonstrated in the diverse ecosystem of the tumor microenvironment (TME). The TME is made up of numerous cell types and its development begins with the changes that happen during oncogenesis. “Genomic mutations, copy number changes, epigenetic alterations, and alternative gene expression occur to varying degrees within the affected tumor cells,” explained Andrea O’Hara, Ph.D., Strategic Technical Specialist at Azenta. “As...07-08-2024, 03:19 PM -
In 2003, researchers from the Human Genome Project (HGP) announced the most comprehensive genome to date1. Although the genome wasn’t fully completed until nearly 20 years later2, numerous large-scale projects, such as the International HapMap Project and 1000 Genomes Project, continued the HGP's work, capturing extensive variation and genomic diversity within humans. Recently, newer initiatives have significantly increased in scale and expanded beyond genomics, offering a more detailed...06-25-2024, 06:43 AM -
While isolating and preparing single cells for sequencing was historically the bottleneck, recent technological advancements have shifted the challenge to data analysis. This highlights the rapidly evolving nature of single-cell sequencing. The inherent complexity of single-cell analysis has intensified with the surge in data volume and the incorporation of diverse and more complex datasets. This article explores the challenges in analysis, examines common pitfalls, offers...06-06-2024, 07:15 AM