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- Table of Contents
Facts about Alpha-2-antiplasmin.
.
Human | |
---|---|
Gene Name: | SERPINF2 |
Uniprot: | P08697 |
Entrez: | 5345 |
Belongs to: |
---|
serpin family |
AAPclade F (alpha-2 antiplasmin; alpha 2-Antiplasmin; Alpha-2-AP; Alpha-2-PI; Alpha-2-plasmin inhibitor; pigment epithelium derived factor), member 2; Serpin F2; serpin peptidase inhibitor, clade F (alpha-2 antiplasmin, pigment epitheliumderived factor), member 2
Mass (kDA):
54.566 kDA
Human | |
---|---|
Location: | 17p13.3 |
Sequence: | 17; NC_000017.11 (1742808..1755265) |
Expressed by the liver and secreted in plasma.
Secreted.
In this article, we will discuss Steven Boster's SERPINF2Marker and the Data analysis process he and Josh Weinstein created. We will also describe the SERPINF2Marker’s use in biomedical and scientific research. The SERPINF2 Marker is a protein found in the blood of people who have been exposed to toxins such as anti-venomous drugs.
The SerpinF2 marker can be found in human placentas. This marker is made by translating and transcription of the genes. An antibody is then used to bind to the polypeptide. SerpinF2 has several uses in medicine. Below are some of these uses. Read on to learn more. * This gene can help form blood clots. It is found in placental tissue.
Chinese names for SerpinF2: Zi Xie Jiang Zhong SerpinF2, Ren Shen6Zhou Hou, Ben Fing Tong Shi, and Zi Xie Jiang Zhong SerpinF2.
David Scott and Josh Weinenstein have developed a data analysis pipeline which allows researchers to use reference data sets such the TCGA catalog. These reference data set can be used to help compare new research results to previous work. However, these resources are only useful if the methods used in the analyses are consistently applied across datasets. To this end, it is essential to develop a pipeline that makes methods available for use on different types of data sets.
Next-generation sequencing technologies (NGS) have increased scientific discovery speed but require large amounts sequence data and appropriate computing power. This massive amount of data requires specialized computational skills and appropriate hardware resources. The DNA Data Bank of Japan developed a cloud computing-based analysis pipeline recently. This is for high-throughput annotation of NGS data reads. The pipeline has a user-friendly graphical interface that can process large NGS databases. The proposed pipeline will include de novo sequencing and high-level analysis for reference genomic mapping.
PMID: 2830248 by Tone M., et al. Structure of human alpha 2-plasmin inhibitor deduced from the cDNA sequence.
PMID: 3166140 by Hirosawa S., et al. Organization of the human alpha 2-plasmin inhibitor gene.